Nurses Warn Patient Safety at Risk as AI Use Spreads in Health Care
Meet the 19-year-old From Silicon Valley Leading the Youth-Led Charge on AI
California Privacy Agency Advances AI Rules to Protect Consumer Data
Breed Unveils San Francisco's Downtown Revival Plan in Annual City Address
Los Angeles County Uses AI to Prevent Homelessness and Offers Assistance
California Lawmakers Take On AI Regulation With a Host of Bills
AI Software Vulnerable to Attacks by Both Professional and Amateur Hackers
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You can hear her work on \u003ca href=\"https://www.npr.org/search?query=Rachael%20Myrow&page=1\">NPR\u003c/a>, \u003ca href=\"https://theworld.org/people/rachael-myrow\">The World\u003c/a>, WBUR's \u003ca href=\"https://www.wbur.org/search?q=Rachael%20Myrow\">\u003ci>Here & Now\u003c/i>\u003c/a> and the BBC. \u003c/i>She also guest hosts for KQED's \u003ci>\u003ca href=\"https://www.kqed.org/forum/tag/rachael-myrow\">Forum\u003c/a>\u003c/i>. 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Prior to joining KQED, Rachael worked in Los Angeles at KPCC and Marketplace. 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For fun, he plays water polo with the San Francisco Tsunami.","avatar":"https://secure.gravatar.com/avatar/a62ebae45b79d7aed1a39a0e3bf68104?s=600&d=blank&r=g","twitter":"scottshafer","facebook":null,"instagram":null,"linkedin":null,"sites":[{"site":"news","roles":["editor"]},{"site":"stateofhealth","roles":["author"]},{"site":"science","roles":["author"]},{"site":"forum","roles":["subscriber"]}],"headData":{"title":"Scott Shafer | KQED","description":"KQED Contributor","ogImgSrc":"https://secure.gravatar.com/avatar/a62ebae45b79d7aed1a39a0e3bf68104?s=600&d=blank&r=g","twImgSrc":"https://secure.gravatar.com/avatar/a62ebae45b79d7aed1a39a0e3bf68104?s=600&d=blank&r=g"},"isLoading":false,"link":"/author/scottshafer"},"fjhabvala":{"type":"authors","id":"8659","meta":{"index":"authors_1591205172","id":"8659","found":true},"name":"Farida Jhabvala Romero","firstName":"Farida","lastName":"Jhabvala Romero","slug":"fjhabvala","email":"fjhabvala@kqed.org","display_author_email":true,"staff_mastheads":["news"],"title":"KQED Contributor","bio":"\u003cspan style=\"font-weight: 400;\">Farida Jhabvala Romero is a Labor Correspondent for KQED. She previously covered immigration. Farida was \u003ca href=\"https://www.ccnma.org/2022-most-influential-latina-journalists\">named\u003c/a> one of the 10 Most Influential Latina Journalists in California in 2022 by the California Chicano News Media Association. Her work has won awards from the Society of Professional Journalists (Northern California), as well as a national and regional Edward M. Murrow Award for the collaborative reporting projects “Dangerous Air” and “Graying California.” \u003c/span>\u003cspan style=\"font-weight: 400;\">Before joining KQED, Farida worked as a producer at Radio Bilingüe, a national public radio network. Farida earned her master’s degree in journalism from Stanford University.\u003c/span>","avatar":"https://secure.gravatar.com/avatar/c3ab27c5554b67b478f80971e515aa02?s=600&d=blank&r=g","twitter":"FaridaJhabvala","facebook":null,"instagram":null,"linkedin":"https://www.linkedin.com/in/faridajhabvala/","sites":[{"site":"news","roles":["editor"]},{"site":"stateofhealth","roles":["author"]}],"headData":{"title":"Farida Jhabvala Romero | KQED","description":"KQED Contributor","ogImgSrc":"https://secure.gravatar.com/avatar/c3ab27c5554b67b478f80971e515aa02?s=600&d=blank&r=g","twImgSrc":"https://secure.gravatar.com/avatar/c3ab27c5554b67b478f80971e515aa02?s=600&d=blank&r=g"},"isLoading":false,"link":"/author/fjhabvala"},"jlara":{"type":"authors","id":"11761","meta":{"index":"authors_1591205172","id":"11761","found":true},"name":"Juan Carlos Lara","firstName":"Juan Carlos","lastName":"Lara","slug":"jlara","email":"jlara@kqed.org","display_author_email":false,"staff_mastheads":[],"title":"KQED 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FM","link":"/"}},"news_11983752":{"type":"posts","id":"news_11983752","meta":{"index":"posts_1591205157","site":"news","id":"11983752","score":null,"sort":[1713832725000]},"guestAuthors":[],"slug":"nurses-warn-patient-safety-at-risk-as-ai-use-spreads-in-health-care","title":"Nurses Warn Patient Safety at Risk as AI Use Spreads in Health Care","publishDate":1713832725,"format":"standard","headTitle":"Nurses Warn Patient Safety at Risk as AI Use Spreads in Health Care | KQED","labelTerm":{"site":"news"},"content":"\u003cp>As the use of artificial intelligence proliferates in the health care industry, Bay Area unionized nurses call for greater transparency and say in how the technologies are deployed to minimize risks to patients.\u003c/p>\n\u003cp>At a protest on Monday outside of Kaiser Permanente’s San Francisco Medical Center, many in the estimated crowd of about 200 members of the California Nurses Association held red signs that read “Patients are not algorithms” and “Trust nurses, not AI.”\u003c/p>\n\u003cp>“All health care corporations need to make sure that the technology is tested, it’s valid, and it’s not harmful to patients,” said Michelle Gutierrez Vo, a president at CNA, representing 24,000 nurses at Kaiser Permanente. “And before they deploy it, they need to sit down with nurses so that the nurses can review and make sure it’s congruent with patient safety.”\u003c/p>\n\u003cfigure id=\"attachment_11983730\" class=\"wp-caption aligncenter\" style=\"max-width: 2560px\">\u003ca href=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-33-BL-scaled.jpg\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-11983730\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-33-BL-scaled.jpg\" alt=\"A woman wearing sun glasses and a red shirt holds a microphone in front of people while she stands behind a podium with a red sign in the background.\" width=\"2560\" height=\"1707\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-33-BL-scaled.jpg 2560w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-33-BL-800x533.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-33-BL-1020x680.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-33-BL-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-33-BL-1536x1024.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-33-BL-2048x1366.jpg 2048w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-33-BL-1920x1280.jpg 1920w\" sizes=\"(max-width: 2560px) 100vw, 2560px\">\u003c/a>\u003cfigcaption class=\"wp-caption-text\">Michelle Gutierrez Vo, a registered nurse at Kaiser Permanente Medical Center in Fremont and a California Nurses Association president, speaks during a rally alongside fellow nurses from across California at Kaiser Permanente on Geary Blvd in San Francisco on April 22, 2024, to advocate for patient safety in the face of artificial intelligence technology. \u003ccite>(Beth LaBerge/KQED)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>Gutierrez Vo and other nurses worry that without proper oversight and accountability, health care employers will use AI to replace nurses and other medical professionals for profit, to the detriment of patient care. The nurses are calling for health care organizations to hit pause on the rollout of new AI technologies.\u003c/p>\n\u003cp>This comes as state and federal regulators race to catch up with the explosive growth of generative AI tools, which experts say also have great potential to improve health care delivery.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>[aside postID=\"news_11976097,news_11980719,news_11982218\" label=\"Related Stories\"]Kaiser Permanente, one of the largest employers in San Francisco, Alameda and other Bay Area counties, has been an early adopter of AI. Company officials \u003ca href=\"https://about.kaiserpermanente.org/news/fostering-responsible-ai-in-health-care\">have said\u003c/a> they rigorously test the tools they use for safety, accuracy and equity.\u003c/p>\n\u003cp>“Our physicians and care teams are always at the center of decision-making with our patients,” a Kaiser Permanente statement said in response to a KQED request for comment. “We believe that AI may be able to help our physicians and employees and enhance our members’ experience. As an organization dedicated to inclusiveness and health equity, we ensure the results from AI tools are correct and unbiased; AI does not replace human assessment.”\u003c/p>\n\u003cp>One program in use at 21 Kaiser hospitals in Northern California is the Advance Alert Monitor, which analyzes electronic health data to notify a nursing team when a patient’s health is at risk of serious decline. The program saves about 500 lives per year, according to the company.\u003c/p>\n\u003cfigure id=\"attachment_11983733\" class=\"wp-caption aligncenter\" style=\"max-width: 2560px\">\u003ca href=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-02-BL-scaled.jpg\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-11983733\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-02-BL-scaled.jpg\" alt='Many people dressed in scrubs hold red signs that say \"Trust Nurses Not AI\" in the street.' width=\"2560\" height=\"1707\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-02-BL-scaled.jpg 2560w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-02-BL-800x533.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-02-BL-1020x680.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-02-BL-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-02-BL-1536x1024.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-02-BL-2048x1366.jpg 2048w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-02-BL-1920x1280.jpg 1920w\" sizes=\"(max-width: 2560px) 100vw, 2560px\">\u003c/a>\u003cfigcaption class=\"wp-caption-text\">Nurses from across California rally at Kaiser Permanente on Geary Blvd in San Francisco on April 22, 2024, to advocate for patient safety in the face of artificial intelligence technology. \u003ccite>(Beth LaBerge/KQED)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>But Gutierrez Vo said nurses have flagged problems with the tool, such as producing inaccurate alarms or failing to detect all patients whose health is quickly deteriorating.\u003c/p>\n\u003cp>“There’s just so much buzz right now that this is the future of health care. These health care corporations are using this as a shortcut, as a way to handle patient load. And we’re saying ‘No. You cannot do that without making sure these systems are safe,’” said Gutierrez Vo, a nurse with 25 years of experience at the company’s Fremont Adult Family Medicine clinic. “Our patients are not lab rats.”\u003c/p>\n\u003cp>The U.S. Food and Drug Administration has authorized some AI-generated services before they go to market, but mostly \u003ca href=\"https://www.politico.com/news/2023/10/28/ai-doctors-healthcare-regulation-00124051\">without the comprehensive data\u003c/a> required for new medicines. Last fall, President Joe Biden issued an \u003ca class=\"c-link\" href=\"https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/\" target=\"_blank\" rel=\"noopener noreferrer\" data-stringify-link=\"https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/\" data-sk=\"tooltip_parent\">executive order\u003c/a> on the safe use of AI, which includes a directive to develop policies for AI-enabled technologies in health services that promote “the welfare of patients and workers.”\u003c/p>\n\u003cp>“It’s very good to have open discussions because the technology is moving at such a fast pace, and everyone is at a different level of understanding of what it can do and [what] it is,” said Dr. Ashish Atreja, Chief Information and Digital Health Officer at UC Davis Health. “Many health systems and organizations do have guardrails in place, but perhaps they haven’t been shared that widely. That’s why there’s a knowledge gap.”\u003c/p>\n\u003cfigure id=\"attachment_11983727\" class=\"wp-caption aligncenter\" style=\"max-width: 2560px\">\u003ca href=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-19-BL-scaled.jpg\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-11983727\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-19-BL-scaled.jpg\" alt=\"A woman wearing sun glasses and a red shirt stands in a crowd with red signs in the background.\" width=\"2560\" height=\"1707\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-19-BL-scaled.jpg 2560w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-19-BL-800x533.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-19-BL-1020x680.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-19-BL-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-19-BL-1536x1024.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-19-BL-2048x1366.jpg 2048w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-19-BL-1920x1280.jpg 1920w\" sizes=\"(max-width: 2560px) 100vw, 2560px\">\u003c/a>\u003cfigcaption class=\"wp-caption-text\">Sandra Larkin listens to speakers alongside fellow nurses from across California during a rally at Kaiser Permanente on Geary Blvd in San Francisco on April 22, 2024, to advocate for patient safety in the face of artificial intelligence technology. \u003ccite>(Beth LaBerge/KQED)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>UC Davis Health is part of a \u003ca href=\"https://health.ucdavis.edu/news/headlines/uc-davis-health-and-leading-health-systems-launch-valid-ai/2023/10\">collaboration\u003c/a> with other health systems to implement generative and other types of AI with what Atreja referred to as “intentionality” to support their workforce and improve patient care.\u003c/p>\n\u003cp>“We have this mission that no patient, no clinician, no researcher, no employee gets left behind in getting advantage from the latest technologies,” Atreja said.\u003c/p>\n\u003cp>Dr. Robert Pearl, a lecturer at the Stanford Graduate Business School and a former CEO of The Permanente Medical Group (Kaiser Permanente), told KQED he agreed with the nurses’ concerns about the use of AI at their workplace.\u003c/p>\n\u003cp>“Generative AI is a threatening technology but also a positive one. What is the best for the patient? That has to be the number one concern,” said Pearl, author of “ChatGPT, MD: How AI-Empowered Patients & Doctors Can Take Back Control of American Medicine,” which he said he co-wrote with the AI system.\u003c/p>\n\u003cp>\u003c/p>\n\u003cp>“I’m optimistic about what it can do for patients,” he said. “I often tell people that generative AI is like the iPhone. It’s not going away.”\u003c/p>\n\n","blocks":[],"excerpt":"At a protest in San Francisco, nurses say health care employers must ensure the artificial intelligence tools they use do not harm patients.","status":"publish","parent":0,"modified":1713834971,"stats":{"hasAudio":false,"hasVideo":false,"hasChartOrMap":false,"iframeSrcs":[],"hasGoogleForm":false,"hasGallery":false,"hasHearkenModule":false,"hasPolis":false,"paragraphCount":19,"wordCount":1003},"headData":{"title":"Nurses Warn Patient Safety at Risk as AI Use Spreads in Health Care | KQED","description":"At a protest in San Francisco, nurses say health care employers must ensure the artificial intelligence tools they use do not harm patients.","ogTitle":"","ogDescription":"","ogImgId":"","twTitle":"","twDescription":"","twImgId":"","schema":{"@context":"http://schema.org","@type":"NewsArticle","headline":"Nurses Warn Patient Safety at Risk as AI Use Spreads in Health Care","datePublished":"2024-04-23T00:38:45.000Z","dateModified":"2024-04-23T01:16:11.000Z","image":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png","isAccessibleForFree":"Y","publisher":{"@type":"NewsMediaOrganization","@id":"https://www.kqed.org/#organization","name":"KQED","url":"https://www.kqed.org","logo":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png"}}},"sticky":false,"excludeFromSiteSearch":"Include","articleAge":"0","path":"/news/11983752/nurses-warn-patient-safety-at-risk-as-ai-use-spreads-in-health-care","audioTrackLength":null,"parsedContent":[{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003cp>As the use of artificial intelligence proliferates in the health care industry, Bay Area unionized nurses call for greater transparency and say in how the technologies are deployed to minimize risks to patients.\u003c/p>\n\u003cp>At a protest on Monday outside of Kaiser Permanente’s San Francisco Medical Center, many in the estimated crowd of about 200 members of the California Nurses Association held red signs that read “Patients are not algorithms” and “Trust nurses, not AI.”\u003c/p>\n\u003cp>“All health care corporations need to make sure that the technology is tested, it’s valid, and it’s not harmful to patients,” said Michelle Gutierrez Vo, a president at CNA, representing 24,000 nurses at Kaiser Permanente. “And before they deploy it, they need to sit down with nurses so that the nurses can review and make sure it’s congruent with patient safety.”\u003c/p>\n\u003cfigure id=\"attachment_11983730\" class=\"wp-caption aligncenter\" style=\"max-width: 2560px\">\u003ca href=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-33-BL-scaled.jpg\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-11983730\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-33-BL-scaled.jpg\" alt=\"A woman wearing sun glasses and a red shirt holds a microphone in front of people while she stands behind a podium with a red sign in the background.\" width=\"2560\" height=\"1707\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-33-BL-scaled.jpg 2560w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-33-BL-800x533.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-33-BL-1020x680.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-33-BL-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-33-BL-1536x1024.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-33-BL-2048x1366.jpg 2048w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-33-BL-1920x1280.jpg 1920w\" sizes=\"(max-width: 2560px) 100vw, 2560px\">\u003c/a>\u003cfigcaption class=\"wp-caption-text\">Michelle Gutierrez Vo, a registered nurse at Kaiser Permanente Medical Center in Fremont and a California Nurses Association president, speaks during a rally alongside fellow nurses from across California at Kaiser Permanente on Geary Blvd in San Francisco on April 22, 2024, to advocate for patient safety in the face of artificial intelligence technology. \u003ccite>(Beth LaBerge/KQED)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>Gutierrez Vo and other nurses worry that without proper oversight and accountability, health care employers will use AI to replace nurses and other medical professionals for profit, to the detriment of patient care. The nurses are calling for health care organizations to hit pause on the rollout of new AI technologies.\u003c/p>\n\u003cp>This comes as state and federal regulators race to catch up with the explosive growth of generative AI tools, which experts say also have great potential to improve health care delivery.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"fullwidth"},"numeric":["fullwidth"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"aside","attributes":{"named":{"postid":"news_11976097,news_11980719,news_11982218","label":"Related Stories "},"numeric":[]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>Kaiser Permanente, one of the largest employers in San Francisco, Alameda and other Bay Area counties, has been an early adopter of AI. Company officials \u003ca href=\"https://about.kaiserpermanente.org/news/fostering-responsible-ai-in-health-care\">have said\u003c/a> they rigorously test the tools they use for safety, accuracy and equity.\u003c/p>\n\u003cp>“Our physicians and care teams are always at the center of decision-making with our patients,” a Kaiser Permanente statement said in response to a KQED request for comment. “We believe that AI may be able to help our physicians and employees and enhance our members’ experience. As an organization dedicated to inclusiveness and health equity, we ensure the results from AI tools are correct and unbiased; AI does not replace human assessment.”\u003c/p>\n\u003cp>One program in use at 21 Kaiser hospitals in Northern California is the Advance Alert Monitor, which analyzes electronic health data to notify a nursing team when a patient’s health is at risk of serious decline. The program saves about 500 lives per year, according to the company.\u003c/p>\n\u003cfigure id=\"attachment_11983733\" class=\"wp-caption aligncenter\" style=\"max-width: 2560px\">\u003ca href=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-02-BL-scaled.jpg\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-11983733\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-02-BL-scaled.jpg\" alt='Many people dressed in scrubs hold red signs that say \"Trust Nurses Not AI\" in the street.' width=\"2560\" height=\"1707\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-02-BL-scaled.jpg 2560w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-02-BL-800x533.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-02-BL-1020x680.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-02-BL-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-02-BL-1536x1024.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-02-BL-2048x1366.jpg 2048w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-02-BL-1920x1280.jpg 1920w\" sizes=\"(max-width: 2560px) 100vw, 2560px\">\u003c/a>\u003cfigcaption class=\"wp-caption-text\">Nurses from across California rally at Kaiser Permanente on Geary Blvd in San Francisco on April 22, 2024, to advocate for patient safety in the face of artificial intelligence technology. \u003ccite>(Beth LaBerge/KQED)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>But Gutierrez Vo said nurses have flagged problems with the tool, such as producing inaccurate alarms or failing to detect all patients whose health is quickly deteriorating.\u003c/p>\n\u003cp>“There’s just so much buzz right now that this is the future of health care. These health care corporations are using this as a shortcut, as a way to handle patient load. And we’re saying ‘No. You cannot do that without making sure these systems are safe,’” said Gutierrez Vo, a nurse with 25 years of experience at the company’s Fremont Adult Family Medicine clinic. “Our patients are not lab rats.”\u003c/p>\n\u003cp>The U.S. Food and Drug Administration has authorized some AI-generated services before they go to market, but mostly \u003ca href=\"https://www.politico.com/news/2023/10/28/ai-doctors-healthcare-regulation-00124051\">without the comprehensive data\u003c/a> required for new medicines. Last fall, President Joe Biden issued an \u003ca class=\"c-link\" href=\"https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/\" target=\"_blank\" rel=\"noopener noreferrer\" data-stringify-link=\"https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/\" data-sk=\"tooltip_parent\">executive order\u003c/a> on the safe use of AI, which includes a directive to develop policies for AI-enabled technologies in health services that promote “the welfare of patients and workers.”\u003c/p>\n\u003cp>“It’s very good to have open discussions because the technology is moving at such a fast pace, and everyone is at a different level of understanding of what it can do and [what] it is,” said Dr. Ashish Atreja, Chief Information and Digital Health Officer at UC Davis Health. “Many health systems and organizations do have guardrails in place, but perhaps they haven’t been shared that widely. That’s why there’s a knowledge gap.”\u003c/p>\n\u003cfigure id=\"attachment_11983727\" class=\"wp-caption aligncenter\" style=\"max-width: 2560px\">\u003ca href=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-19-BL-scaled.jpg\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-11983727\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-19-BL-scaled.jpg\" alt=\"A woman wearing sun glasses and a red shirt stands in a crowd with red signs in the background.\" width=\"2560\" height=\"1707\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-19-BL-scaled.jpg 2560w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-19-BL-800x533.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-19-BL-1020x680.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-19-BL-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-19-BL-1536x1024.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-19-BL-2048x1366.jpg 2048w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/04/240422-NursesAI-19-BL-1920x1280.jpg 1920w\" sizes=\"(max-width: 2560px) 100vw, 2560px\">\u003c/a>\u003cfigcaption class=\"wp-caption-text\">Sandra Larkin listens to speakers alongside fellow nurses from across California during a rally at Kaiser Permanente on Geary Blvd in San Francisco on April 22, 2024, to advocate for patient safety in the face of artificial intelligence technology. \u003ccite>(Beth LaBerge/KQED)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>UC Davis Health is part of a \u003ca href=\"https://health.ucdavis.edu/news/headlines/uc-davis-health-and-leading-health-systems-launch-valid-ai/2023/10\">collaboration\u003c/a> with other health systems to implement generative and other types of AI with what Atreja referred to as “intentionality” to support their workforce and improve patient care.\u003c/p>\n\u003cp>“We have this mission that no patient, no clinician, no researcher, no employee gets left behind in getting advantage from the latest technologies,” Atreja said.\u003c/p>\n\u003cp>Dr. Robert Pearl, a lecturer at the Stanford Graduate Business School and a former CEO of The Permanente Medical Group (Kaiser Permanente), told KQED he agreed with the nurses’ concerns about the use of AI at their workplace.\u003c/p>\n\u003cp>“Generative AI is a threatening technology but also a positive one. What is the best for the patient? That has to be the number one concern,” said Pearl, author of “ChatGPT, MD: How AI-Empowered Patients & Doctors Can Take Back Control of American Medicine,” which he said he co-wrote with the AI system.\u003c/p>\n\u003cp>\u003c/p>\n\u003cp>“I’m optimistic about what it can do for patients,” he said. “I often tell people that generative AI is like the iPhone. It’s not going away.”\u003c/p>\n\n\u003c/div>\u003c/p>","attributes":{"named":{},"numeric":[]}}],"link":"/news/11983752/nurses-warn-patient-safety-at-risk-as-ai-use-spreads-in-health-care","authors":["8659"],"categories":["news_457","news_8","news_248"],"tags":["news_2114","news_28642","news_27626","news_18659","news_421","news_28963","news_30933"],"featImg":"news_11983729","label":"news"},"news_11982374":{"type":"posts","id":"news_11982374","meta":{"index":"posts_1591205157","site":"news","id":"11982374","score":null,"sort":[1712709036000]},"guestAuthors":[],"slug":"meet-the-19-year-old-from-silicon-valley-leading-the-youth-led-charge-on-ai","title":"Meet the 19-year-old From Silicon Valley Leading the Youth-Led Charge on AI","publishDate":1712709036,"format":"audio","headTitle":"Meet the 19-year-old From Silicon Valley Leading the Youth-Led Charge on AI | KQED","labelTerm":{},"content":"\u003cp>Sneha Revanur is quickly establishing herself as the leading Gen Z voice on generative AI. In 2020, at the age of 15, the San Jos\u003cspan style=\"font-weight: 400\">é\u003c/span> native founded Encode Justice, a youth-led group pushing policymakers and AI companies to put people at the center of the AI revolution.\u003c/p>\n\u003cp>Plus, a package of bills introduced Tuesday in Sacramento aims to target large scale retail theft operations. KQED’s Guy Marzorati joins to explain the bills, how they would change theft prosecutions and how they fit within the context of California’s Proposition 47.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\u003cp>\u003c/p>\n","blocks":[],"excerpt":null,"status":"publish","parent":0,"modified":1712931958,"stats":{"hasAudio":false,"hasVideo":false,"hasChartOrMap":false,"iframeSrcs":[],"hasGoogleForm":false,"hasGallery":false,"hasHearkenModule":false,"hasPolis":false,"paragraphCount":4,"wordCount":98},"headData":{"title":"Meet the 19-year-old From Silicon Valley Leading the Youth-Led Charge on AI | KQED","description":"Sneha Revanur is quickly establishing herself as the leading Gen Z voice on generative AI. In 2020, at the age of 15, the San José native founded Encode Justice, a youth-led group pushing policymakers and AI companies to put people at the center of the AI revolution. Plus, a package of bills introduced Tuesday in Sacramento aims to target large scale retail theft operations. KQED's Guy Marzorati joins to explain the bills, how they would change theft prosecutions and how they fit within the context of California's Proposition 47.","ogTitle":"","ogDescription":"","ogImgId":"","twTitle":"","twDescription":"","twImgId":"","schema":{"@context":"http://schema.org","@type":"NewsArticle","headline":"Meet the 19-year-old From Silicon Valley Leading the Youth-Led Charge on AI","datePublished":"2024-04-10T00:30:36.000Z","dateModified":"2024-04-12T14:25:58.000Z","image":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png","isAccessibleForFree":"Y","publisher":{"@type":"NewsMediaOrganization","@id":"https://www.kqed.org/#organization","name":"KQED","url":"https://www.kqed.org","logo":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png"}}},"source":"Political Breakdown","audioUrl":"https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/G6C7C3/traffic.megaphone.fm/KQINC7225972200.mp3?updated=1712708040","sticky":false,"excludeFromSiteSearch":"Include","articleAge":"0","path":"/news/11982374/meet-the-19-year-old-from-silicon-valley-leading-the-youth-led-charge-on-ai","audioTrackLength":null,"parsedContent":[{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003cp>Sneha Revanur is quickly establishing herself as the leading Gen Z voice on generative AI. In 2020, at the age of 15, the San Jos\u003cspan style=\"font-weight: 400\">é\u003c/span> native founded Encode Justice, a youth-led group pushing policymakers and AI companies to put people at the center of the AI revolution.\u003c/p>\n\u003cp>Plus, a package of bills introduced Tuesday in Sacramento aims to target large scale retail theft operations. KQED’s Guy Marzorati joins to explain the bills, how they would change theft prosecutions and how they fit within the context of California’s Proposition 47.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"fullwidth"},"numeric":["fullwidth"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\u003cp>\u003c/p>\n\u003c/div>\u003c/p>","attributes":{"named":{},"numeric":[]}}],"link":"/news/11982374/meet-the-19-year-old-from-silicon-valley-leading-the-youth-led-charge-on-ai","authors":["255"],"programs":["news_33544"],"categories":["news_8"],"tags":["news_2114","news_22235","news_17968","news_353"],"featImg":"news_11982461","label":"source_news_11982374"},"news_11979306":{"type":"posts","id":"news_11979306","meta":{"index":"posts_1591205157","site":"news","id":"11979306","score":null,"sort":[1710414015000]},"guestAuthors":[],"slug":"california-takes-steps-to-regulate-ai-use-by-large-companies","title":"California Privacy Agency Advances AI Rules to Protect Consumer Data","publishDate":1710414015,"format":"standard","headTitle":"California Privacy Agency Advances AI Rules to Protect Consumer Data | KQED","labelTerm":{"term":18481,"site":"news"},"content":"\u003cp>Rules around businesses using artificial intelligence have begun to come into focus for the first time.\u003c/p>\n\u003cp>The California Privacy Protection Agency board on Friday voted 3–2 to advance rules about how businesses use artificial intelligence and collect the personal information of consumers, workers, and students. The vote, which took place in Oakland, continues a process that started in November 2021.\u003c/p>\n\u003cp>The proposed rules seek to create guidelines for the many areas in which AI and personal data can influence the lives of Californians: job compensation, demotion, and opportunity; housing, insurance, health care, and student expulsion. For example, under the rules, if an employer wanted to use AI to make predictions about a person’s emotional state or personality during a job interview, a job candidate could opt out without fear of discrimination for choosing to do so.\u003c/p>\n\u003cp>Under the rules advanced on Friday, businesses must notify people before using AI. If people opt out of interacting with an AI model, businesses cannot discriminate against people for that choice. If people agree to use an AI service or tool, businesses must respond to requests by individuals about how they use their personal information to make predictions. The rules would also require employers or third-party contractors to carry out risk assessments to evaluate the performance of their technology.\u003c/p>\n\u003cp>The proposed rules would affect any company making more than $25 million in annual revenue or processing the personal data of more than 100,000 Californians. AI regulation in California could be disproportionately influential. A \u003ca href=\"https://www.axios.com/local/san-diego/2023/08/02/california-san-diego-ai-technology-forbes-brookings\">Forbes analysis\u003c/a> found that 35 of the top 50 AI companies in the world are headquartered in California.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>The process for making rules around AI underway in California is unique because it affects workers, students as well as consumers. And whereas many states leave enforcement of data privacy laws to attorneys general, California’s data privacy law is enforced by a board with the power to make rules. Draft rules for automated decision-making technology and AI go beyond privacy bills in other states like Colorado and Washington or Europe’s General Data Protection Regulation to extend privacy protections to full-time employees, independent contractors, and job applicants.\u003c/p>\n\u003cp>[aside postID=\"news_11976097,news_11972309,news_11973657\" label=\"Related Stories\"]Disclosure is a core part of AI regulation efforts like the privacy protection agency draft rules and the AI Act, which European Union lawmakers expect to pass into law in the coming months. A lack of disclosure has led to instances in recent years where bias algorithms can automate \u003ca href=\"https://www.wired.com/story/wrongful-arrests-ai-derailed-3-mens-lives/\">indignity and discrimination\u003c/a>. Algorithms have also made critical decisions about things like housing, health care or education without consumer’s knowledge or consent. Once both laws go into effect, businesses will have 24 months to comply.\u003c/p>\n\u003ch2>An artificial intelligence loophole?\u003c/h2>\n\u003cp>More than 20 labor unions and digital rights organizations say the latest iteration of the rules — introduced a few days before the meeting — is watered down and introduces loopholes that would let businesses evade accountability when using the technology. Privacy board staff introduced the first version of draft rules last fall.\u003c/p>\n\u003cp>Those digital rights advocates — including organizations like the California Labor Federation and UC Berkeley Labor Center — said the rules eliminate an opt-out option from previous versions of the rules and change the definition of a key term in a way that could be taken advantage of.\u003c/p>\n\u003cp>Changing the definition of automated decision-making technology to one that only covers technology that “substantially facilitates human decision making,” the advocates argue, creates an opening for companies to side-step accountability.\u003c/p>\n\u003cp>“Companies could easily claim that they do not use automated systems that ‘substantially facilitate’ human decisions,” reads a letter issued by the advocates and shared with CalMatters. “This revision deprives the agency of necessary information about how risk-prone algorithmic tools are being used.”\u003c/p>\n\u003cp>That language change sounds like a gap in the law, said board member Vinhcent Le, who was part of a subcommittee that worked with privacy protection agency lawyers and staff to develop the first draft of rules more than two years ago.\u003c/p>\n\u003cp>“If this advances as is, we should focus on making sure this doesn’t become a big loophole,” he said.\u003c/p>\n\u003cp>California is the first and only place where employees are getting critical info about their data, UC Berkeley Labor Center Director Annette Bernhardt told the board during public comment ahead of the vote, and recent amendments threaten to deprive workers of agency over algorithmic tools.\u003c/p>\n\u003cp>In public comment at a December 2023 meeting where the board held its first discussions of the draft rules, business groups argued in favor of an exemption from public records requests and eliminating risk assessment approval by a company board of directors. Business interests like the Bay Area Council — whose members include big AI companies like Amazon, Google and Meta — previously argued that the draft rule definitions of AI and automated decision making were too broad.\u003c/p>\n\u003cp>Privacy Protection Agency Executive Director Ashkan Soltani said he’s looking forward to more input from the public since roughly 90% of feedback thus far has come from business lobbyists.\u003c/p>\n\u003ch2>AI rules moving toward completion\u003c/h2>\n\u003cp>Before Friday’s vote, board member Lydia de la Torre said she wasn’t comfortable moving the rules forward without unanimous approval because they are likely to face litigation from lawyers who are already telling the board that the draft rules represent an overreach.\u003c/p>\n\u003cp>Board member Alastair Mactaggart said he voted no because he still finds the definition of automated decision-making technology “extraordinarily broad” and said the rules should not move forward because they will require every business to carry out risk assessments.\u003c/p>\n\u003cp>In response to de La Torre’s concern about litigation, board member Jeffrey Worthe said the meaningful vote is not now but when the board ends the public feedback process and votes to begin formal rulemaking.\u003c/p>\n\u003cp>“It’s time to move this to a wider audience,” he said. “We don’t have to have it all decided now.”\u003c/p>\n\u003cp>Research \u003ca href=\"https://laborcenter.berkeley.edu/wp-content/uploads/2021/11/Data-and-Algorithms-at-Work.pdf\">co-authored by Bernhardt (PDF)\u003c/a> found that workplace surveillance is on the rise and that it’s often used by small or mid-sized companies that obtain technology with little knowledge about how the tech works. She told CalMatters she’s less worried about AI eliminating jobs than she is about algorithms used in the workplace treating people like machines.\u003c/p>\n\u003cp>Staff counsel Neelofer Shaikh characterized workers subject to workplace surveillance as particularly vulnerable because “it is much harder to leave your workplace if you are subject to intensive profiling than to just leave a website.”\u003c/p>\n\u003cp>Work on draft AI regulation to protect the personal privacy of consumers and workers started shortly after the formation of the board following the \u003ca href=\"https://calmatters.org/election-2020-guide/proposition-24-data-privacy/\">November 2020 passage\u003c/a> of the California Privacy Rights Act, which directs the board to protect the personal privacy of California residents.\u003c/p>\n\u003cp>[ad floatright]\u003c/p>\n\u003cp>In July, there will be another vote on these rules. Privacy protection agency staff don’t expect a final vote to approve the draft rules to take place for another year.\u003c/p>\n\n","blocks":[],"excerpt":"The multi-year process started in late 2021 and took the next step toward regulating the business use of AI in California. Given the number of AI companies in the state, the rules are expected to be influential.","status":"publish","parent":0,"modified":1710437975,"stats":{"hasAudio":false,"hasVideo":false,"hasChartOrMap":false,"iframeSrcs":[],"hasGoogleForm":false,"hasGallery":false,"hasHearkenModule":false,"hasPolis":false,"paragraphCount":26,"wordCount":1207},"headData":{"title":"California Privacy Agency Advances AI Rules to Protect Consumer Data | KQED","description":"The multi-year process started in late 2021 and took the next step toward regulating the business use of AI in California. Given the number of AI companies in the state, the rules are expected to be influential.","ogTitle":"","ogDescription":"","ogImgId":"","twTitle":"","twDescription":"","twImgId":"","schema":{"@context":"http://schema.org","@type":"NewsArticle","headline":"California Privacy Agency Advances AI Rules to Protect Consumer Data","datePublished":"2024-03-14T11:00:15.000Z","dateModified":"2024-03-14T17:39:35.000Z","image":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png","isAccessibleForFree":"Y","publisher":{"@type":"NewsMediaOrganization","@id":"https://www.kqed.org/#organization","name":"KQED","url":"https://www.kqed.org","logo":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png"}}},"sticky":false,"nprByline":"\u003ca href=\"https://calmatters.org/author/khari-johnson/\">Khari Johnson\u003c/a>","excludeFromSiteSearch":"Include","showOnAuthorArchivePages":"No","articleAge":"0","path":"/news/11979306/california-takes-steps-to-regulate-ai-use-by-large-companies","audioTrackLength":null,"parsedContent":[{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003cp>Rules around businesses using artificial intelligence have begun to come into focus for the first time.\u003c/p>\n\u003cp>The California Privacy Protection Agency board on Friday voted 3–2 to advance rules about how businesses use artificial intelligence and collect the personal information of consumers, workers, and students. The vote, which took place in Oakland, continues a process that started in November 2021.\u003c/p>\n\u003cp>The proposed rules seek to create guidelines for the many areas in which AI and personal data can influence the lives of Californians: job compensation, demotion, and opportunity; housing, insurance, health care, and student expulsion. For example, under the rules, if an employer wanted to use AI to make predictions about a person’s emotional state or personality during a job interview, a job candidate could opt out without fear of discrimination for choosing to do so.\u003c/p>\n\u003cp>Under the rules advanced on Friday, businesses must notify people before using AI. If people opt out of interacting with an AI model, businesses cannot discriminate against people for that choice. If people agree to use an AI service or tool, businesses must respond to requests by individuals about how they use their personal information to make predictions. The rules would also require employers or third-party contractors to carry out risk assessments to evaluate the performance of their technology.\u003c/p>\n\u003cp>The proposed rules would affect any company making more than $25 million in annual revenue or processing the personal data of more than 100,000 Californians. AI regulation in California could be disproportionately influential. A \u003ca href=\"https://www.axios.com/local/san-diego/2023/08/02/california-san-diego-ai-technology-forbes-brookings\">Forbes analysis\u003c/a> found that 35 of the top 50 AI companies in the world are headquartered in California.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"fullwidth"},"numeric":["fullwidth"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>The process for making rules around AI underway in California is unique because it affects workers, students as well as consumers. And whereas many states leave enforcement of data privacy laws to attorneys general, California’s data privacy law is enforced by a board with the power to make rules. Draft rules for automated decision-making technology and AI go beyond privacy bills in other states like Colorado and Washington or Europe’s General Data Protection Regulation to extend privacy protections to full-time employees, independent contractors, and job applicants.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"aside","attributes":{"named":{"postid":"news_11976097,news_11972309,news_11973657","label":"Related Stories "},"numeric":[]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>Disclosure is a core part of AI regulation efforts like the privacy protection agency draft rules and the AI Act, which European Union lawmakers expect to pass into law in the coming months. A lack of disclosure has led to instances in recent years where bias algorithms can automate \u003ca href=\"https://www.wired.com/story/wrongful-arrests-ai-derailed-3-mens-lives/\">indignity and discrimination\u003c/a>. Algorithms have also made critical decisions about things like housing, health care or education without consumer’s knowledge or consent. Once both laws go into effect, businesses will have 24 months to comply.\u003c/p>\n\u003ch2>An artificial intelligence loophole?\u003c/h2>\n\u003cp>More than 20 labor unions and digital rights organizations say the latest iteration of the rules — introduced a few days before the meeting — is watered down and introduces loopholes that would let businesses evade accountability when using the technology. Privacy board staff introduced the first version of draft rules last fall.\u003c/p>\n\u003cp>Those digital rights advocates — including organizations like the California Labor Federation and UC Berkeley Labor Center — said the rules eliminate an opt-out option from previous versions of the rules and change the definition of a key term in a way that could be taken advantage of.\u003c/p>\n\u003cp>Changing the definition of automated decision-making technology to one that only covers technology that “substantially facilitates human decision making,” the advocates argue, creates an opening for companies to side-step accountability.\u003c/p>\n\u003cp>“Companies could easily claim that they do not use automated systems that ‘substantially facilitate’ human decisions,” reads a letter issued by the advocates and shared with CalMatters. “This revision deprives the agency of necessary information about how risk-prone algorithmic tools are being used.”\u003c/p>\n\u003cp>That language change sounds like a gap in the law, said board member Vinhcent Le, who was part of a subcommittee that worked with privacy protection agency lawyers and staff to develop the first draft of rules more than two years ago.\u003c/p>\n\u003cp>“If this advances as is, we should focus on making sure this doesn’t become a big loophole,” he said.\u003c/p>\n\u003cp>California is the first and only place where employees are getting critical info about their data, UC Berkeley Labor Center Director Annette Bernhardt told the board during public comment ahead of the vote, and recent amendments threaten to deprive workers of agency over algorithmic tools.\u003c/p>\n\u003cp>In public comment at a December 2023 meeting where the board held its first discussions of the draft rules, business groups argued in favor of an exemption from public records requests and eliminating risk assessment approval by a company board of directors. Business interests like the Bay Area Council — whose members include big AI companies like Amazon, Google and Meta — previously argued that the draft rule definitions of AI and automated decision making were too broad.\u003c/p>\n\u003cp>Privacy Protection Agency Executive Director Ashkan Soltani said he’s looking forward to more input from the public since roughly 90% of feedback thus far has come from business lobbyists.\u003c/p>\n\u003ch2>AI rules moving toward completion\u003c/h2>\n\u003cp>Before Friday’s vote, board member Lydia de la Torre said she wasn’t comfortable moving the rules forward without unanimous approval because they are likely to face litigation from lawyers who are already telling the board that the draft rules represent an overreach.\u003c/p>\n\u003cp>Board member Alastair Mactaggart said he voted no because he still finds the definition of automated decision-making technology “extraordinarily broad” and said the rules should not move forward because they will require every business to carry out risk assessments.\u003c/p>\n\u003cp>In response to de La Torre’s concern about litigation, board member Jeffrey Worthe said the meaningful vote is not now but when the board ends the public feedback process and votes to begin formal rulemaking.\u003c/p>\n\u003cp>“It’s time to move this to a wider audience,” he said. “We don’t have to have it all decided now.”\u003c/p>\n\u003cp>Research \u003ca href=\"https://laborcenter.berkeley.edu/wp-content/uploads/2021/11/Data-and-Algorithms-at-Work.pdf\">co-authored by Bernhardt (PDF)\u003c/a> found that workplace surveillance is on the rise and that it’s often used by small or mid-sized companies that obtain technology with little knowledge about how the tech works. She told CalMatters she’s less worried about AI eliminating jobs than she is about algorithms used in the workplace treating people like machines.\u003c/p>\n\u003cp>Staff counsel Neelofer Shaikh characterized workers subject to workplace surveillance as particularly vulnerable because “it is much harder to leave your workplace if you are subject to intensive profiling than to just leave a website.”\u003c/p>\n\u003cp>Work on draft AI regulation to protect the personal privacy of consumers and workers started shortly after the formation of the board following the \u003ca href=\"https://calmatters.org/election-2020-guide/proposition-24-data-privacy/\">November 2020 passage\u003c/a> of the California Privacy Rights Act, which directs the board to protect the personal privacy of California residents.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"floatright"},"numeric":["floatright"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>In July, there will be another vote on these rules. Privacy protection agency staff don’t expect a final vote to approve the draft rules to take place for another year.\u003c/p>\n\n\u003c/div>\u003c/p>","attributes":{"named":{},"numeric":[]}}],"link":"/news/11979306/california-takes-steps-to-regulate-ai-use-by-large-companies","authors":["byline_news_11979306"],"categories":["news_8"],"tags":["news_2114","news_2414","news_4289"],"affiliates":["news_18481"],"featImg":"news_11979310","label":"news_18481"},"news_11978610":{"type":"posts","id":"news_11978610","meta":{"index":"posts_1591205157","site":"news","id":"11978610","score":null,"sort":[1709858607000]},"guestAuthors":[],"slug":"breed-unveils-san-franciscos-downtown-revival-plan-in-annual-city-address","title":"Breed Unveils San Francisco's Downtown Revival Plan in Annual City Address","publishDate":1709858607,"format":"standard","headTitle":"Breed Unveils San Francisco’s Downtown Revival Plan in Annual City Address | KQED","labelTerm":{"site":"news"},"content":"\u003cp>During her annual State of the City address Thursday, San Francisco Mayor London Breed unveiled a new plan to revitalize the city’s struggling downtown area.\u003c/p>\n\u003cp>Breed’s goal with the 30 by 30 initiative is to attract 30,000 residents and students downtown by 2030.[pullquote size=\"medium\" align=\"right\" citation=\"San Francisco Mayor London Breed\"]‘We are recruiting new businesses and continuing to see new leases signed led by AI, which alone is projected to add 12 million square feet of office space by 2030.’[/pullquote]“Downtown has always been the economic engine that funds the services we care about, and its post-pandemic difficulties are the driving reason for the deficit we now face,” Breed said from Pier 27.\u003c/p>\n\u003cp>Breed acknowledged the city’s economic reliance on industries operating from downtown offices. That dependence was made clear at the onset of the pandemic, with a persistent downtown \u003ca href=\"https://www.kqed.org/news/11955554/could-empty-offices-in-san-francisco-be-converted-to-homes\">office vacancy rate exceeding 30% due to the shift to remote work.\u003c/a>\u003c/p>\n\u003cp>However, Breed also indicated that she believes technology companies still have a large role to play in fueling that economic engine.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>“We are recruiting new businesses and continuing to see new leases signed led by AI, which alone is projected to add 12 million square feet of office space by 2030,” Breed said. “And it won’t be AI alone. This is one of the most beautiful urban environments in the world, with an unrivaled pool of talent, of builders and dreamers, and the largest collection of deployable capital in the country.”\u003c/p>\n\u003cp>To meet this new goal, Breed said she hopes to work with state Sen. Scott Wiener to \u003ca href=\"https://sd11.senate.ca.gov/news/20240216-senator-wiener-introduces-bill-revitalize-downtown-san-francisco\">change state laws\u003c/a> to provide regulatory and tax exemptions for building conversions and spur housing production downtown.\u003c/p>\n\u003cp>To that end, Breed committed to vetoing any new piece of legislation that she deemed to be anti-housing.[aside label='More on London Breed' tag='london-breed']\u003ca href=\"https://www.hcd.ca.gov/policy-and-research/plans-and-reports\">A state report released last October\u003c/a> criticized city rules for making new housing production slower and costlier. Even if some of those local rules are changed — obstacles remain — including \u003ca href=\"https://www.kqed.org/news/11839409/5-reasons-its-so-expensive-to-build-housing-in-california\">high construction costs.\u003c/a>\u003c/p>\n\u003cp>The announcements come as Breed seems poised to score several victories in Tuesday’s election, including the likely passage of propositions C, E and F, which she sponsored. Though not all votes have been counted, all three measures were leading by more than five percentage points as of \u003ca href=\"https://sfelections.org/results/20240305w/index.html\">Thursday afternoon\u003c/a>.\u003c/p>\n\u003cp>Proposition C, if passed, would provide the new owners of converted office buildings with a one-time exemption from the city’s real estate transfer tax. As of this writing, it currently leads with nearly 54% of the vote.\u003c/p>\n\u003cp>Proposition F would require residents who receive city benefits to submit to drug screenings and treatment programs if they are suspected of having a dependence on illegal drugs or risk losing their benefits. Critics say coerced participation is not likely to lead to successful treatment — and vulnerable people could lose their housing if cut off from assistance programs.\u003c/p>\n\u003cp>During her speech, the mayor thanked residents for their support of those propositions.\u003c/p>\n\u003cp>“We will roll out 400 automated license plate cameras at 100 intersections across the city this month. Thanks to the voters for approving Proposition E on Tuesday,” Breed said. “We will be installing new public safety cameras in high-crime areas, deploying drones for auto theft, car break-ins and other crimes.”[pullquote size=\"medium\" align=\"right\" citation=\"San Francisco Mayor London Breed\"]‘We will roll out 400 automated license plate cameras at 100 intersections across the city this month. … We will be installing new public safety cameras in high-crime areas, deploying drones for auto theft, car break-ins and other crimes.’[/pullquote] Along with giving police greater access to surveillance technology and reducing officer requirements for use-of-force reporting, Proposition E would allow police to engage in vehicle pursuits more often.\u003c/p>\n\u003cp>The mayor seemed to take Tuesday’s election results as a mandate to continue her efforts to ramp up police crackdowns in the city, vowing to support arrests of drug dealers and even drug users “who are a danger to themselves.”\u003c/p>\n\u003cp>“Yes, offering people services is critical, but frankly, we must compel some people into treatment,” Breed said, adding that she also hopes to expand treatment options for those suffering from substance use disorder.\u003c/p>\n\u003cp>Breed’s test of true public support, though, will come in November.\u003c/p>\n\u003cp>That’s when residents will decide whether to re-elect Breed and give her the time to enact these plans or vote in one of her challengers instead.\u003c/p>\n\u003cp>\u003c/p>\n","blocks":[],"excerpt":"San Francisco Mayor London Breed delivered her State of the City address at Pier 27, unveiling the ‘30 by 30’ initiative. The plan seeks to revive the city's downtown by drawing in 30,000 residents and students by 2030.","status":"publish","parent":0,"modified":1709860130,"stats":{"hasAudio":false,"hasVideo":false,"hasChartOrMap":false,"iframeSrcs":[],"hasGoogleForm":false,"hasGallery":false,"hasHearkenModule":false,"hasPolis":false,"paragraphCount":18,"wordCount":789},"headData":{"title":"Breed Unveils San Francisco's Downtown Revival Plan in Annual City Address | KQED","description":"San Francisco Mayor London Breed delivered her State of the City address at Pier 27, unveiling the ‘30 by 30’ initiative. The plan seeks to revive the city's downtown by drawing in 30,000 residents and students by 2030.","ogTitle":"","ogDescription":"","ogImgId":"","twTitle":"","twDescription":"","twImgId":"","schema":{"@context":"http://schema.org","@type":"NewsArticle","headline":"Breed Unveils San Francisco's Downtown Revival Plan in Annual City Address","datePublished":"2024-03-08T00:43:27.000Z","dateModified":"2024-03-08T01:08:50.000Z","image":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png","isAccessibleForFree":"Y","publisher":{"@type":"NewsMediaOrganization","@id":"https://www.kqed.org/#organization","name":"KQED","url":"https://www.kqed.org","logo":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png"}}},"sticky":false,"excludeFromSiteSearch":"Include","articleAge":"0","path":"/news/11978610/breed-unveils-san-franciscos-downtown-revival-plan-in-annual-city-address","audioTrackLength":null,"parsedContent":[{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003cp>During her annual State of the City address Thursday, San Francisco Mayor London Breed unveiled a new plan to revitalize the city’s struggling downtown area.\u003c/p>\n\u003cp>Breed’s goal with the 30 by 30 initiative is to attract 30,000 residents and students downtown by 2030.\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"‘We are recruiting new businesses and continuing to see new leases signed led by AI, which alone is projected to add 12 million square feet of office space by 2030.’","name":"pullquote","attributes":{"named":{"size":"medium","align":"right","citation":"San Francisco Mayor London Breed","label":""},"numeric":[]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>“Downtown has always been the economic engine that funds the services we care about, and its post-pandemic difficulties are the driving reason for the deficit we now face,” Breed said from Pier 27.\u003c/p>\n\u003cp>Breed acknowledged the city’s economic reliance on industries operating from downtown offices. That dependence was made clear at the onset of the pandemic, with a persistent downtown \u003ca href=\"https://www.kqed.org/news/11955554/could-empty-offices-in-san-francisco-be-converted-to-homes\">office vacancy rate exceeding 30% due to the shift to remote work.\u003c/a>\u003c/p>\n\u003cp>However, Breed also indicated that she believes technology companies still have a large role to play in fueling that economic engine.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"fullwidth"},"numeric":["fullwidth"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>“We are recruiting new businesses and continuing to see new leases signed led by AI, which alone is projected to add 12 million square feet of office space by 2030,” Breed said. “And it won’t be AI alone. This is one of the most beautiful urban environments in the world, with an unrivaled pool of talent, of builders and dreamers, and the largest collection of deployable capital in the country.”\u003c/p>\n\u003cp>To meet this new goal, Breed said she hopes to work with state Sen. Scott Wiener to \u003ca href=\"https://sd11.senate.ca.gov/news/20240216-senator-wiener-introduces-bill-revitalize-downtown-san-francisco\">change state laws\u003c/a> to provide regulatory and tax exemptions for building conversions and spur housing production downtown.\u003c/p>\n\u003cp>To that end, Breed committed to vetoing any new piece of legislation that she deemed to be anti-housing.\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"aside","attributes":{"named":{"label":"More on London Breed ","tag":"london-breed"},"numeric":[]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003ca href=\"https://www.hcd.ca.gov/policy-and-research/plans-and-reports\">A state report released last October\u003c/a> criticized city rules for making new housing production slower and costlier. Even if some of those local rules are changed — obstacles remain — including \u003ca href=\"https://www.kqed.org/news/11839409/5-reasons-its-so-expensive-to-build-housing-in-california\">high construction costs.\u003c/a>\u003c/p>\n\u003cp>The announcements come as Breed seems poised to score several victories in Tuesday’s election, including the likely passage of propositions C, E and F, which she sponsored. Though not all votes have been counted, all three measures were leading by more than five percentage points as of \u003ca href=\"https://sfelections.org/results/20240305w/index.html\">Thursday afternoon\u003c/a>.\u003c/p>\n\u003cp>Proposition C, if passed, would provide the new owners of converted office buildings with a one-time exemption from the city’s real estate transfer tax. As of this writing, it currently leads with nearly 54% of the vote.\u003c/p>\n\u003cp>Proposition F would require residents who receive city benefits to submit to drug screenings and treatment programs if they are suspected of having a dependence on illegal drugs or risk losing their benefits. Critics say coerced participation is not likely to lead to successful treatment — and vulnerable people could lose their housing if cut off from assistance programs.\u003c/p>\n\u003cp>During her speech, the mayor thanked residents for their support of those propositions.\u003c/p>\n\u003cp>“We will roll out 400 automated license plate cameras at 100 intersections across the city this month. Thanks to the voters for approving Proposition E on Tuesday,” Breed said. “We will be installing new public safety cameras in high-crime areas, deploying drones for auto theft, car break-ins and other crimes.”\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"‘We will roll out 400 automated license plate cameras at 100 intersections across the city this month. … We will be installing new public safety cameras in high-crime areas, deploying drones for auto theft, car break-ins and other crimes.’","name":"pullquote","attributes":{"named":{"size":"medium","align":"right","citation":"San Francisco Mayor London Breed","label":""},"numeric":[]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp> Along with giving police greater access to surveillance technology and reducing officer requirements for use-of-force reporting, Proposition E would allow police to engage in vehicle pursuits more often.\u003c/p>\n\u003cp>The mayor seemed to take Tuesday’s election results as a mandate to continue her efforts to ramp up police crackdowns in the city, vowing to support arrests of drug dealers and even drug users “who are a danger to themselves.”\u003c/p>\n\u003cp>“Yes, offering people services is critical, but frankly, we must compel some people into treatment,” Breed said, adding that she also hopes to expand treatment options for those suffering from substance use disorder.\u003c/p>\n\u003cp>Breed’s test of true public support, though, will come in November.\u003c/p>\n\u003cp>That’s when residents will decide whether to re-elect Breed and give her the time to enact these plans or vote in one of her challengers instead.\u003c/p>\n\u003cp>\u003c/p>\n\u003c/div>\u003c/p>","attributes":{"named":{},"numeric":[]}}],"link":"/news/11978610/breed-unveils-san-franciscos-downtown-revival-plan-in-annual-city-address","authors":["11761"],"categories":["news_8"],"tags":["news_25184","news_2114","news_18545","news_23420","news_27626","news_6931","news_17968","news_18536","news_38","news_33882","news_1631"],"featImg":"news_11978597","label":"news"},"news_11978448":{"type":"posts","id":"news_11978448","meta":{"index":"posts_1591205157","site":"news","id":"11978448","score":null,"sort":[1709825423000]},"guestAuthors":[],"slug":"los-angeles-county-uses-ai-to-prevent-homelessness-and-offers-assistance","title":"Los Angeles County Uses AI to Prevent Homelessness and Offers Assistance","publishDate":1709825423,"format":"standard","headTitle":"Los Angeles County Uses AI to Prevent Homelessness and Offers Assistance | KQED","labelTerm":{},"content":"\u003cp>You’ve likely heard about AI powering driverless cars, writing term papers and creating unsettling deep fakes.\u003c/p>\n\u003cp>Can that same technology also prevent people from becoming homeless?\u003c/p>\n\u003cp>That’s what Los Angeles County is trying to find out. Officials there are using \u003ca href=\"https://calmatters.org/politics/elections/2024/02/ai-elections-bill-package/\">AI technology\u003c/a> to predict who in the county is most likely to lose their housing — and then stepping in to help those people with their rent, utility bills, car payments and more.[pullquote size=\"medium\" align=\"right\" citation=\"Dana Vanderford, associate director of homelessness prevention, LA County’s Department of Health Services\"]‘If we know who people are who unfortunately are going to have that experience … it’s a real opportunity to do something early on in their lives to prevent that from happening.’[/pullquote]It’s still an experimental strategy. But the program has served more than 700 clients since 2021, and 86% have retained their housing. It comes at a time when \u003ca href=\"https://calmatters.org/housing/homelessness/2024/01/california-homeless-point-in-time-count-2024/\">more than 180,000 Californians have no place to call home\u003c/a>, and people are ending up on the streets faster than government agencies and nonprofits can get them into housing. Officials all over the state are turning to methods aimed at preventing homelessness before it happens.\u003c/p>\n\u003cp>LA County’s algorithm analyzes data from residents’ emergency room visits, jail stays, use of food assistance and more, and has sparked interest from Silicon Valley to San Diego. Final data on the program — which has roughly $26 million in federal COVID funds and is expected to end in 2026 — aren’t yet out. If it’s successful, it could have major implications for helping cities and counties spend their limited resources more efficiently.\u003c/p>\n\u003cp>“If we know who people are who unfortunately are going to have that experience, and they’re already county clients, it’s a real opportunity to do something early on in their lives to prevent that from happening,” said Dana Vanderford, associate director of homelessness prevention for LA County’s Department of Health Services.\u003c/p>\n\u003cfigure id=\"attachment_11978466\" class=\"wp-caption aligncenter\" style=\"max-width: 2000px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-11978466\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI02.jpg\" alt=\"\" width=\"2000\" height=\"1333\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI02.jpg 2000w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI02-800x533.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI02-1020x680.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI02-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI02-1536x1024.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI02-1920x1280.jpg 1920w\" sizes=\"(max-width: 2000px) 100vw, 2000px\">\u003cfigcaption class=\"wp-caption-text\">Dana Vanderford, Associate Director of Homelessness Prevention at Housing for Health at Los Angeles County Department of Health Services, in Los Angeles, on Feb. 29, 2024. \u003ccite>(Jules Hotz/CalMatters)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003ch2>How does artificial intelligence predict homelessness?\u003c/h2>\n\u003cp>The idea started in 2019, when UCLA’s California Policy Lab began experimenting to see if it could use machine learning, combined with LA County data, to predict homelessness. Then, the county paired that with money to intervene before people ended up on the street — the program is predominantly funded with $26 million in COVID-era \u003ca href=\"https://www.whitehouse.gov/american-rescue-plan/\">funds from the federal American Rescue Plan\u003c/a>.\u003c/p>\n\u003cp>The UCLA researchers start with a list of 90,000 people who recently used services from the county’s Health Services or Mental Health departments. Using 580 factors, the computer ranks those people from 1 to 90,000 based on their risk of becoming homeless. The people deemed to be highest-risk tend to show up in emergency rooms and jails at high rates and have high usage of services such as CalFresh food benefits. However, the model considers many more data points.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>For example, if people receive services in many different geographic areas, it could mean they’re couch surfing — bouncing from one precarious living situation to the next.\u003c/p>\n\u003cp>“You sort of let the computer learn what it finds to be predictive over time,” said Janey Rountree, executive director of the California Policy Lab at UCLA.\u003c/p>\n\u003cp>To train the algorithm, the researchers showed it a list of people who became homeless along with the services they used before losing their housing. Then, they had the algorithm practice “predicting” homelessness using old data and checked to see if it was accurate. When they were satisfied, they started using it for real predictions.\u003c/p>\n\u003cp>How well does it work? Among the 90,000 people the researchers started with, 7% became homeless in 18 months. Among the 10,000 people the algorithm deemed to be the highest risk, 24% became homeless.\u003c/p>\n\u003cp>If they were targeting fewer people (say 1,000 instead of 10,000), it would be even more accurate, Rountree said. But social workers aren’t able to get in touch with many of the people on the list, and others don’t agree to participate in the aid program, so they have to cast a broader net.[pullquote size=\"medium\" align=\"right\" citation=\"Janey Rountree, executive director, UCLA’s California Policy Lab\"]‘You sort of let the computer learn what it finds to be predictive over time.’[/pullquote]Is a computer really better at guessing who will become homeless than human social workers trained in this work? Rountree says yes — 3.5 times better, to be exact.\u003c/p>\n\u003cp>The problem with humans, she said, is that they’re biased toward the people they know.\u003c/p>\n\u003cp>“It’s just human nature to want to help the people that you’re in contact with,” she said. “They all seem housing-unstable and at high risk. You want to help those individuals or those families in front of you. But not all of them are going to become homeless and be on the street or use shelter if they don’t get assistance.”\u003c/p>\n\u003cp>Caseworkers also often prioritize people with lower needs, Rountree said. Someone who recently lost their job but otherwise is stable gets preference over someone facing ongoing struggles with their mental health or addiction because the stable person is easier to help. However, the stable person may not be the one who needs the help the most.\u003c/p>\n\u003cp>Rountree said there’s also a belief that people with higher needs will not spend the money they’re given wisely. But AI doesn’t have that bias, so it ensures the money goes to those who need it most.\u003c/p>\n\u003cp>The results are apparent. People the algorithm targets are much more likely to have been incarcerated, sought substance use treatment, had mental health issues or been hospitalized than the people who seek aid through LA County’s other homelessness prevention programs, Rountree said. In that way, this program fills a hole in LA County’s net of services, she said.\u003c/p>\n\u003cp>LA County’s other, more traditional programs geared to prevent homelessness rely on people reaching out to request help or on caseworkers referring clients.\u003c/p>\n\u003cp>Interestingly, they aren’t duplicating efforts. There’s almost no overlap between the people targeted by the AI algorithm and those served by traditional prevention programs, Vanderford said.\u003c/p>\n\u003cp>“We know there’s a significant population of folks, who if somebody doesn’t reach out to them to offer assistance, they might lose their housing right out from under them without reaching out for assistance themselves,” she said.\u003c/p>\n\u003ch2>Then, a human steps in\u003c/h2>\n\u003cp>Four times a year, the Policy Lab researchers send LA County a list of residents the AI program has deemed most likely to become homeless. The county then mails those people letters, telling them they’ve been selected to participate in the program. After that, a social worker cold-calls them to tell them the good news.\u003c/p>\n\u003cp>The person at the other end of the line is often convinced it’s a scam. After all, how often does someone legitimate call out of the blue to offer free money?\u003c/p>\n\u003cp>When that happens, case worker Genice Brown usually asks if she can email them—a move she hopes lends a bit more credence to her pitch. Once she convinces them the program is real, nine out of 10 people agree to sign up, she said.\u003c/p>\n\u003cfigure id=\"attachment_11978489\" class=\"wp-caption aligncenter\" style=\"max-width: 2000px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-11978489\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI03.jpg\" alt=\"\" width=\"2000\" height=\"1333\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI03.jpg 2000w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI03-800x533.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI03-1020x680.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI03-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI03-1536x1024.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI03-1920x1280.jpg 1920w\" sizes=\"(max-width: 2000px) 100vw, 2000px\">\u003cfigcaption class=\"wp-caption-text\">Genice Brown, a medical case worker with the Housing Stabilization and Homelessness Prevention Unit, in Los Angeles on Feb. 29, 2024. \u003ccite>(Jules Hotz/CalMatters)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>Individuals enrolled in the program receive a base sum of either $4,000 or $6,000 (the amount is randomly assigned so researchers can assess the impacts of different amounts of money). Families start at $6,000 or $8,000, with larger families receiving more.\u003c/p>\n\u003cp>Brown can use that money for whatever her clients need most. Usually, rent comes first, but it also can cover other bills. In addition, she helps connect her clients to doctors, dentists and mental health services. If they’re looking for work, Brown gets them gift cards for interview outfits, helps them with their resumes and role-plays interview questions.\u003c/p>\n\u003cp>She works with each client for three or four months.\u003c/p>\n\u003ch2>‘I just really needed the help’\u003c/h2>\n\u003cp>For 38-year-old Sandricka Henderson, help came just in time.\u003c/p>\n\u003cp>Diagnosed with lupus at the start of the COVID-19 pandemic, Henderson could no longer work her physically demanding warehouse job. Disability benefits gave her barely more than $1,000 a month — just a quarter of what she made while she was working. With an 8-year-old son to support, Henderson found she was at least $400 behind on her bills every month.\u003c/p>\n\u003cp>Just before Christmas last year, Henderson received a call from a woman offering free money. Henderson was sure it was a scam and braced for the woman to ask for her Social Security number.[aside label='More Stories on Artificial Intelligence' tag='artificial-intelligence']But the social worker (who turned out to be Genice Brown) didn’t, and Henderson eventually realized the program was real. The first thing Brown gave her was a $100 gift card to a local grocery store — a blessing, Henderson said because she had nothing in her refrigerator.\u003c/p>\n\u003cp>Shortly after, Henderson’s landlord sent her a letter warning she had 10 days to pay her rent or be evicted. About a week later, Brown sent the rent money and helped Henderson avoid catastrophe. She also helped Henderson catch up on her car payment.\u003c/p>\n\u003cp>Now, Henderson no longer feels like she’s teetering on the edge of homelessness. She has some money in her savings account, and her rent is prepaid for several months.\u003c/p>\n\u003cp>“I just really needed the help,” Henderson said. Because she’s used to working hard and taking care of herself, she added, she never would have reached out and asked for it.\u003c/p>\n\u003cp>“It really did change my whole circumstances,” she said. “My son had a Christmas that I didn’t think I was going to be able to give him.”\u003c/p>\n\u003ch2>The future of AI in homelessness services\u003c/h2>\n\u003cp>Throughout California, new people are becoming homeless faster than aid workers can find existing homeless residents housing. \u003ca href=\"https://destinationhomesv.org/community-plan/\">In Santa Clara County, for example, for every one homeless household that moved into housing last year, another 1.7 became newly homeless\u003c/a>, according to \u003ca href=\"https://destinationhomesv.org/who-we-are/\">Destination: Home, a Santa Clara County-based organization focused on ending homelessness\u003c/a>.[pullquote size=\"medium\" align=\"right\" citation=\"Consuelo Hernandez, director, LA County’s Office of Supportive Housing\"]‘Without having additional resources, what is the true benefit of knowing there are more people out there who are in need?’[/pullquote]The LA County team has met with government agencies from all over the country who are interested in its AI model, including Santa Clara and San Diego counties, Vanderford said.\u003c/p>\n\u003cp>San Diego County is working on a plan for homelessness prevention, Tim McClain, spokesman for the county’s Health and Human Services Agency, said in an email to CalMatters. He wouldn’t provide any additional updates.\u003c/p>\n\u003cp>Santa Clara County met with the California Policy Lab earlier this year and hopes to schedule another informational meeting soon, said Consuelo Hernandez, director of the county’s Office of Supportive Housing. The county’s homelessness prevention program relies on humans triaging clients. If artificial intelligence can do that work more efficiently, it’s worth exploring, Hernandez said.\u003c/p>\n\u003cp>But at the end of the day, what they want is more money to help the people who already fill their queues.\u003c/p>\n\u003cp>“Without having additional resources,” Hernandez said, “what is the true benefit of knowing there are more people out there who are in need?”\u003c/p>\n\u003cp>[ad floatright]\u003c/p>\n","blocks":[],"excerpt":"It’s an experiment still in progress: machine learning predicts who will end up on the street — and then social workers step in to offer help. So far, nearly 90% of participants kept their housing. ","status":"publish","parent":0,"modified":1709834289,"stats":{"hasAudio":false,"hasVideo":false,"hasChartOrMap":false,"iframeSrcs":[],"hasGoogleForm":false,"hasGallery":false,"hasHearkenModule":false,"hasPolis":false,"paragraphCount":40,"wordCount":2049},"headData":{"title":"Los Angeles County Uses AI to Prevent Homelessness and Offers Assistance | KQED","description":"It’s an experiment still in progress: machine learning predicts who will end up on the street — and then social workers step in to offer help. So far, nearly 90% of participants kept their housing. ","ogTitle":"","ogDescription":"","ogImgId":"","twTitle":"","twDescription":"","twImgId":"","schema":{"@context":"http://schema.org","@type":"NewsArticle","headline":"Los Angeles County Uses AI to Prevent Homelessness and Offers Assistance","datePublished":"2024-03-07T15:30:23.000Z","dateModified":"2024-03-07T17:58:09.000Z","image":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png","isAccessibleForFree":"Y","publisher":{"@type":"NewsMediaOrganization","@id":"https://www.kqed.org/#organization","name":"KQED","url":"https://www.kqed.org","logo":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png"}}},"source":"CalMatters","sourceUrl":"https://calmatters.org/","sticky":false,"nprByline":"\u003ca href=\"https://calmatters.org/author/marisa-kendall/\">Marisa Kendall\u003c/a>","excludeFromSiteSearch":"Include","showOnAuthorArchivePages":"No","articleAge":"0","path":"/news/11978448/los-angeles-county-uses-ai-to-prevent-homelessness-and-offers-assistance","audioTrackLength":null,"parsedContent":[{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003cp>You’ve likely heard about AI powering driverless cars, writing term papers and creating unsettling deep fakes.\u003c/p>\n\u003cp>Can that same technology also prevent people from becoming homeless?\u003c/p>\n\u003cp>That’s what Los Angeles County is trying to find out. Officials there are using \u003ca href=\"https://calmatters.org/politics/elections/2024/02/ai-elections-bill-package/\">AI technology\u003c/a> to predict who in the county is most likely to lose their housing — and then stepping in to help those people with their rent, utility bills, car payments and more.\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"‘If we know who people are who unfortunately are going to have that experience … it’s a real opportunity to do something early on in their lives to prevent that from happening.’","name":"pullquote","attributes":{"named":{"size":"medium","align":"right","citation":"Dana Vanderford, associate director of homelessness prevention, LA County’s Department of Health Services","label":""},"numeric":[]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>It’s still an experimental strategy. But the program has served more than 700 clients since 2021, and 86% have retained their housing. It comes at a time when \u003ca href=\"https://calmatters.org/housing/homelessness/2024/01/california-homeless-point-in-time-count-2024/\">more than 180,000 Californians have no place to call home\u003c/a>, and people are ending up on the streets faster than government agencies and nonprofits can get them into housing. Officials all over the state are turning to methods aimed at preventing homelessness before it happens.\u003c/p>\n\u003cp>LA County’s algorithm analyzes data from residents’ emergency room visits, jail stays, use of food assistance and more, and has sparked interest from Silicon Valley to San Diego. Final data on the program — which has roughly $26 million in federal COVID funds and is expected to end in 2026 — aren’t yet out. If it’s successful, it could have major implications for helping cities and counties spend their limited resources more efficiently.\u003c/p>\n\u003cp>“If we know who people are who unfortunately are going to have that experience, and they’re already county clients, it’s a real opportunity to do something early on in their lives to prevent that from happening,” said Dana Vanderford, associate director of homelessness prevention for LA County’s Department of Health Services.\u003c/p>\n\u003cfigure id=\"attachment_11978466\" class=\"wp-caption aligncenter\" style=\"max-width: 2000px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-11978466\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI02.jpg\" alt=\"\" width=\"2000\" height=\"1333\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI02.jpg 2000w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI02-800x533.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI02-1020x680.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI02-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI02-1536x1024.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI02-1920x1280.jpg 1920w\" sizes=\"(max-width: 2000px) 100vw, 2000px\">\u003cfigcaption class=\"wp-caption-text\">Dana Vanderford, Associate Director of Homelessness Prevention at Housing for Health at Los Angeles County Department of Health Services, in Los Angeles, on Feb. 29, 2024. \u003ccite>(Jules Hotz/CalMatters)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003ch2>How does artificial intelligence predict homelessness?\u003c/h2>\n\u003cp>The idea started in 2019, when UCLA’s California Policy Lab began experimenting to see if it could use machine learning, combined with LA County data, to predict homelessness. Then, the county paired that with money to intervene before people ended up on the street — the program is predominantly funded with $26 million in COVID-era \u003ca href=\"https://www.whitehouse.gov/american-rescue-plan/\">funds from the federal American Rescue Plan\u003c/a>.\u003c/p>\n\u003cp>The UCLA researchers start with a list of 90,000 people who recently used services from the county’s Health Services or Mental Health departments. Using 580 factors, the computer ranks those people from 1 to 90,000 based on their risk of becoming homeless. The people deemed to be highest-risk tend to show up in emergency rooms and jails at high rates and have high usage of services such as CalFresh food benefits. However, the model considers many more data points.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"fullwidth"},"numeric":["fullwidth"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>For example, if people receive services in many different geographic areas, it could mean they’re couch surfing — bouncing from one precarious living situation to the next.\u003c/p>\n\u003cp>“You sort of let the computer learn what it finds to be predictive over time,” said Janey Rountree, executive director of the California Policy Lab at UCLA.\u003c/p>\n\u003cp>To train the algorithm, the researchers showed it a list of people who became homeless along with the services they used before losing their housing. Then, they had the algorithm practice “predicting” homelessness using old data and checked to see if it was accurate. When they were satisfied, they started using it for real predictions.\u003c/p>\n\u003cp>How well does it work? Among the 90,000 people the researchers started with, 7% became homeless in 18 months. Among the 10,000 people the algorithm deemed to be the highest risk, 24% became homeless.\u003c/p>\n\u003cp>If they were targeting fewer people (say 1,000 instead of 10,000), it would be even more accurate, Rountree said. But social workers aren’t able to get in touch with many of the people on the list, and others don’t agree to participate in the aid program, so they have to cast a broader net.\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"‘You sort of let the computer learn what it finds to be predictive over time.’","name":"pullquote","attributes":{"named":{"size":"medium","align":"right","citation":"Janey Rountree, executive director, UCLA’s California Policy Lab","label":""},"numeric":[]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>Is a computer really better at guessing who will become homeless than human social workers trained in this work? Rountree says yes — 3.5 times better, to be exact.\u003c/p>\n\u003cp>The problem with humans, she said, is that they’re biased toward the people they know.\u003c/p>\n\u003cp>“It’s just human nature to want to help the people that you’re in contact with,” she said. “They all seem housing-unstable and at high risk. You want to help those individuals or those families in front of you. But not all of them are going to become homeless and be on the street or use shelter if they don’t get assistance.”\u003c/p>\n\u003cp>Caseworkers also often prioritize people with lower needs, Rountree said. Someone who recently lost their job but otherwise is stable gets preference over someone facing ongoing struggles with their mental health or addiction because the stable person is easier to help. However, the stable person may not be the one who needs the help the most.\u003c/p>\n\u003cp>Rountree said there’s also a belief that people with higher needs will not spend the money they’re given wisely. But AI doesn’t have that bias, so it ensures the money goes to those who need it most.\u003c/p>\n\u003cp>The results are apparent. People the algorithm targets are much more likely to have been incarcerated, sought substance use treatment, had mental health issues or been hospitalized than the people who seek aid through LA County’s other homelessness prevention programs, Rountree said. In that way, this program fills a hole in LA County’s net of services, she said.\u003c/p>\n\u003cp>LA County’s other, more traditional programs geared to prevent homelessness rely on people reaching out to request help or on caseworkers referring clients.\u003c/p>\n\u003cp>Interestingly, they aren’t duplicating efforts. There’s almost no overlap between the people targeted by the AI algorithm and those served by traditional prevention programs, Vanderford said.\u003c/p>\n\u003cp>“We know there’s a significant population of folks, who if somebody doesn’t reach out to them to offer assistance, they might lose their housing right out from under them without reaching out for assistance themselves,” she said.\u003c/p>\n\u003ch2>Then, a human steps in\u003c/h2>\n\u003cp>Four times a year, the Policy Lab researchers send LA County a list of residents the AI program has deemed most likely to become homeless. The county then mails those people letters, telling them they’ve been selected to participate in the program. After that, a social worker cold-calls them to tell them the good news.\u003c/p>\n\u003cp>The person at the other end of the line is often convinced it’s a scam. After all, how often does someone legitimate call out of the blue to offer free money?\u003c/p>\n\u003cp>When that happens, case worker Genice Brown usually asks if she can email them—a move she hopes lends a bit more credence to her pitch. Once she convinces them the program is real, nine out of 10 people agree to sign up, she said.\u003c/p>\n\u003cfigure id=\"attachment_11978489\" class=\"wp-caption aligncenter\" style=\"max-width: 2000px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-11978489\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI03.jpg\" alt=\"\" width=\"2000\" height=\"1333\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI03.jpg 2000w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI03-800x533.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI03-1020x680.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI03-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI03-1536x1024.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/03/CMHousingAI03-1920x1280.jpg 1920w\" sizes=\"(max-width: 2000px) 100vw, 2000px\">\u003cfigcaption class=\"wp-caption-text\">Genice Brown, a medical case worker with the Housing Stabilization and Homelessness Prevention Unit, in Los Angeles on Feb. 29, 2024. \u003ccite>(Jules Hotz/CalMatters)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>Individuals enrolled in the program receive a base sum of either $4,000 or $6,000 (the amount is randomly assigned so researchers can assess the impacts of different amounts of money). Families start at $6,000 or $8,000, with larger families receiving more.\u003c/p>\n\u003cp>Brown can use that money for whatever her clients need most. Usually, rent comes first, but it also can cover other bills. In addition, she helps connect her clients to doctors, dentists and mental health services. If they’re looking for work, Brown gets them gift cards for interview outfits, helps them with their resumes and role-plays interview questions.\u003c/p>\n\u003cp>She works with each client for three or four months.\u003c/p>\n\u003ch2>‘I just really needed the help’\u003c/h2>\n\u003cp>For 38-year-old Sandricka Henderson, help came just in time.\u003c/p>\n\u003cp>Diagnosed with lupus at the start of the COVID-19 pandemic, Henderson could no longer work her physically demanding warehouse job. Disability benefits gave her barely more than $1,000 a month — just a quarter of what she made while she was working. With an 8-year-old son to support, Henderson found she was at least $400 behind on her bills every month.\u003c/p>\n\u003cp>Just before Christmas last year, Henderson received a call from a woman offering free money. Henderson was sure it was a scam and braced for the woman to ask for her Social Security number.\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"aside","attributes":{"named":{"label":"More Stories on Artificial Intelligence ","tag":"artificial-intelligence"},"numeric":[]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>But the social worker (who turned out to be Genice Brown) didn’t, and Henderson eventually realized the program was real. The first thing Brown gave her was a $100 gift card to a local grocery store — a blessing, Henderson said because she had nothing in her refrigerator.\u003c/p>\n\u003cp>Shortly after, Henderson’s landlord sent her a letter warning she had 10 days to pay her rent or be evicted. About a week later, Brown sent the rent money and helped Henderson avoid catastrophe. She also helped Henderson catch up on her car payment.\u003c/p>\n\u003cp>Now, Henderson no longer feels like she’s teetering on the edge of homelessness. She has some money in her savings account, and her rent is prepaid for several months.\u003c/p>\n\u003cp>“I just really needed the help,” Henderson said. Because she’s used to working hard and taking care of herself, she added, she never would have reached out and asked for it.\u003c/p>\n\u003cp>“It really did change my whole circumstances,” she said. “My son had a Christmas that I didn’t think I was going to be able to give him.”\u003c/p>\n\u003ch2>The future of AI in homelessness services\u003c/h2>\n\u003cp>Throughout California, new people are becoming homeless faster than aid workers can find existing homeless residents housing. \u003ca href=\"https://destinationhomesv.org/community-plan/\">In Santa Clara County, for example, for every one homeless household that moved into housing last year, another 1.7 became newly homeless\u003c/a>, according to \u003ca href=\"https://destinationhomesv.org/who-we-are/\">Destination: Home, a Santa Clara County-based organization focused on ending homelessness\u003c/a>.\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"‘Without having additional resources, what is the true benefit of knowing there are more people out there who are in need?’","name":"pullquote","attributes":{"named":{"size":"medium","align":"right","citation":"Consuelo Hernandez, director, LA County’s Office of Supportive Housing","label":""},"numeric":[]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>The LA County team has met with government agencies from all over the country who are interested in its AI model, including Santa Clara and San Diego counties, Vanderford said.\u003c/p>\n\u003cp>San Diego County is working on a plan for homelessness prevention, Tim McClain, spokesman for the county’s Health and Human Services Agency, said in an email to CalMatters. He wouldn’t provide any additional updates.\u003c/p>\n\u003cp>Santa Clara County met with the California Policy Lab earlier this year and hopes to schedule another informational meeting soon, said Consuelo Hernandez, director of the county’s Office of Supportive Housing. The county’s homelessness prevention program relies on humans triaging clients. If artificial intelligence can do that work more efficiently, it’s worth exploring, Hernandez said.\u003c/p>\n\u003cp>But at the end of the day, what they want is more money to help the people who already fill their queues.\u003c/p>\n\u003cp>“Without having additional resources,” Hernandez said, “what is the true benefit of knowing there are more people out there who are in need?”\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"floatright"},"numeric":["floatright"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003c/div>\u003c/p>","attributes":{"named":{},"numeric":[]}}],"link":"/news/11978448/los-angeles-county-uses-ai-to-prevent-homelessness-and-offers-assistance","authors":["byline_news_11978448"],"categories":["news_8"],"tags":["news_25184","news_2114","news_18538","news_4020","news_1775","news_1631"],"affiliates":["news_18481"],"featImg":"news_11978450","label":"source_news_11978448"},"news_11976097":{"type":"posts","id":"news_11976097","meta":{"index":"posts_1591205157","site":"news","id":"11976097","score":null,"sort":[1708097417000]},"guestAuthors":[],"slug":"california-lawmakers-take-on-ai-regulation-with-a-host-of-bills","title":"California Lawmakers Take On AI Regulation With a Host of Bills","publishDate":1708097417,"format":"standard","headTitle":"California Lawmakers Take On AI Regulation With a Host of Bills | KQED","labelTerm":{"site":"news"},"content":"\u003cp>It’s been eight months since Sam Altman, CEO of OpenAI, the outfit that gave us ChatGPT, urged U.S. senators to \u003cem>please\u003c/em>\u003ca href=\"https://www.youtube.com/watch?v=TO0J2Yw7usM\"> pass new laws\u003c/a> to force accountability from the big players, like OpenAI investor Microsoft, as well as Amazon, Google and Meta. “The number of companies is going to be small, just because of the resources required, and so I think there needs to be incredible scrutiny on us and our competitors,” Altman said in May of 2023.\u003c/p>\n\u003cp>Yeah, no. That’s not what has happened.\u003c/p>\n\u003cp>[pullquote align=\"right\" size=\"medium\" citation=\"State Sen. Scott Wiener (D-San Francisco)\"]‘I would love to have one unified, federal law that effectively addresses AI safety. Congress has not passed such a law. Congress has not even come close to passing such a law.’[/pullquote]“I would love to have one unified, federal law that effectively addresses AI safety. Congress has \u003ca href=\"https://techpost.bsa.org/2024/02/06/bsa-member-roundtable-what-do-we-expect-from-congress-on-tech-policy-in-2024/\">not passed such a law\u003c/a>. Congress has not even come close to passing such a law,” said Democratic State Senator Scott Wiener of San Francisco, one of a growing number of California lawmakers rolling out legislation that could provide a model for other states to follow, if not the federal government. Wiener argues his \u003ca href=\"https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=202320240SB1047\">Senate Bill 1047\u003c/a> is the most ambitious proposal so far in the country, and given that he was just named Senate Budget chair, he is arguably the best positioned at the state capitol to pass aggressive legislation that is also well-funded.\u003c/p>\n\u003cp>SB 1047 would require companies building the largest and most powerful AI models — not the wee startups — to test for safety before releasing those models to the public. What does that mean? Here’s some language from the legislation as currently written:\u003c/p>\n\u003cblockquote>\u003cp>“If not properly subject to human controls, future development in artificial intelligence may also have the potential to be used to create novel threats to public safety and security, including by enabling the creation and the proliferation of weapons of mass destruction, such as biological, chemical, and nuclear weapons, as well as weapons with cyber-offensive capabilities.”\u003c/p>\u003c/blockquote>\n\u003cp>AI companies would have to tell the state about testing protocols and guardrails, and if the tech causes “critical harm,” California’s attorney general can sue. Wiener says his legislation draws heavily on the Biden administration’s 2023 \u003ca href=\"https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/\">executive order on AI\u003c/a>.\u003c/p>\n\u003cp>\u003cstrong>Catch up fast: \u003c/strong>By software industry alliance BSA’s count, there are more than 400 AI-related bills pending across 44 states, but California’s size and sophistication make the roughly 30 bills pending in Sacramento most likely to be seen as legal landmarks, should they pass. Also, many of the largest companies working on generative AI models are based in the San Francisco Bay Area. OpenAI is based in San Francisco; so are Anthropic, Databricks and Scale AI. Meta is based in Menlo Park. Google is based in Mountain View. Seattle-based Microsoft and Amazon have offices in the San Francisco Bay Area. According to the think tank Brookings, more than 60% of generative AI jobs posted in the year ending in July 2023 were clustered in just 10 metro areas in the U.S.,\u003ca href=\"https://www.brookings.edu/articles/new-data-shows-that-without-intervention-generative-ai-jobs-will-continue-to-cluster-in-the-same-big-tech-hubs/\"> led far and away by the Bay Area\u003c/a>.\u003c/p>\n\u003cp>\u003cstrong>The context: \u003c/strong>The FTC and other regulators are exploring how to use \u003ca href=\"https://www.ftc.gov/news-events/news/press-releases/2024/02/ftc-proposes-new-protections-combat-ai-impersonation-individuals?utm_source=govdelivery\">existing laws\u003c/a> to rein in AI developers and nefarious individuals and organizations using AI to break the law, but many experts say that’s not going to be enough. Lina Khan, who heads the Federal Trade Commission, raised this question during an FTC\u003ca href=\"https://www.ftc.gov/news-events/events/2024/01/ftc-tech-summit\"> summit on AI\u003c/a> last month: “Will a handful of dominant firms concentrate control over these key tools, locking us into a future of their choosing?”\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>\u003cstrong>The big picture: \u003c/strong>By now, you’ve probably gotten the memo: Large AI models are everywhere and doing everything — developing \u003ca href=\"https://news.mit.edu/2020/artificial-intelligence-identifies-new-antibiotic-0220\">new antibiotics\u003c/a> and helping humans \u003ca href=\"https://www.wired.com/story/use-ai-talk-to-whales-save-life-on-earth/\">communicate with whales\u003c/a>, but also turbocharging \u003ca href=\"https://www.npr.org/2024/02/08/1229641751/ai-deepfakes-election-risks-lawmakers-tech-companies-artificial-intelligence\">election-season fraud\u003c/a> and \u003ca href=\"https://www.npr.org/2023/01/31/1152652093/ai-artificial-intelligence-bot-hiring-eeoc-discrimination\">automating hiring discrimination\u003c/a>. In 2023, many world-leading experts signed a \u003ca href=\"https://www.safe.ai/statement-on-ai-risk\">statement on AI Risks\u003c/a> — “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war,” it reads.\u003c/p>\n\u003cp>\u003cstrong>What we are watching: \u003c/strong>There are at least 29 bills pending in Sacramento alone in the 2023–2024 legislative year focused on some aspect of artificial intelligence, according to \u003ca href=\"https://www.axios.com/2024/02/14/ai-bills-state-legislatures-deepfakes-bias-discrimination\">Axios\u003c/a>. More are expected to roll out in the near future, which is why the following list is a partial one.\u003c/p>\n\u003cp>\u003cimg loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-11976121\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/02/Screenshot-2024-02-15-at-3.40.49%E2%80%AFPM-e1708041434811.png\" alt=\"\" width=\"2398\" height=\"863\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/02/Screenshot-2024-02-15-at-3.40.49 PM-e1708041434811.png 2398w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/02/Screenshot-2024-02-15-at-3.40.49 PM-e1708041434811-800x288.png 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/02/Screenshot-2024-02-15-at-3.40.49 PM-e1708041434811-1020x367.png 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/02/Screenshot-2024-02-15-at-3.40.49 PM-e1708041434811-160x58.png 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/02/Screenshot-2024-02-15-at-3.40.49 PM-e1708041434811-1536x553.png 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/02/Screenshot-2024-02-15-at-3.40.49 PM-e1708041434811-2048x737.png 2048w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/02/Screenshot-2024-02-15-at-3.40.49 PM-e1708041434811-1920x691.png 1920w\" sizes=\"(max-width: 2398px) 100vw, 2398px\">\u003c/p>\n\u003cp>\u003cstrong>The opposing view: \u003c/strong>“While I think that these types of regulatory guidelines are good, I’m not sure how effective they will be,” said Hany Farid, a UC Berkeley School of Information professor specializing in digital forensics, misinformation, and human perception.\u003c/p>\n\u003cp>\u003cstrong>The bottom line:\u003c/strong> Farid added, “I don’t think it makes sense for individual states to try to regulate in this space, but if any state is going to do it, it should be California. The upside of state regulation is that it puts more pressure on the federal government to act so that we don’t end up with a chaotic state-by-state regulation of tech.”\u003c/p>\n\u003cp>“We can’t have a patchwork of state laws,” agrees Grace Gedye, an AI Policy Analyst at Consumer Reports. But, she added, “We definitely can’t hold our breath [for Congress to act] because we could be waiting 10 or 20 years.”\u003c/p>\n\u003cp>\u003c/p>\n","blocks":[],"excerpt":"In the absence of Congressional action, California often takes the lead with new legislation to reign in tech. This was true for privacy and social media, and now it looks to be playing out the same way for generative AI.","status":"publish","parent":0,"modified":1708104576,"stats":{"hasAudio":false,"hasVideo":false,"hasChartOrMap":false,"iframeSrcs":[],"hasGoogleForm":false,"hasGallery":false,"hasHearkenModule":false,"hasPolis":false,"paragraphCount":16,"wordCount":931},"headData":{"title":"California Lawmakers Take On AI Regulation With a Host of Bills | KQED","description":"In the absence of Congressional action, California often takes the lead with new legislation to reign in tech. This was true for privacy and social media, and now it looks to be playing out the same way for generative AI.","ogTitle":"","ogDescription":"","ogImgId":"","twTitle":"","twDescription":"","twImgId":"","schema":{"@context":"http://schema.org","@type":"NewsArticle","headline":"California Lawmakers Take On AI Regulation With a Host of Bills","datePublished":"2024-02-16T15:30:17.000Z","dateModified":"2024-02-16T17:29:36.000Z","image":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png","isAccessibleForFree":"Y","publisher":{"@type":"NewsMediaOrganization","@id":"https://www.kqed.org/#organization","name":"KQED","url":"https://www.kqed.org","logo":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png"}}},"audioUrl":"https://traffic.omny.fm/d/clips/0af137ef-751e-4b19-a055-aaef00d2d578/ffca7e9f-6831-4[…]f-aaef00f5a073/01e312da-4048-4d9b-beff-b1170111f3b4/audio.mp3","sticky":false,"excludeFromSiteSearch":"Include","articleAge":"0","path":"/news/11976097/california-lawmakers-take-on-ai-regulation-with-a-host-of-bills","audioTrackLength":null,"parsedContent":[{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003cp>It’s been eight months since Sam Altman, CEO of OpenAI, the outfit that gave us ChatGPT, urged U.S. senators to \u003cem>please\u003c/em>\u003ca href=\"https://www.youtube.com/watch?v=TO0J2Yw7usM\"> pass new laws\u003c/a> to force accountability from the big players, like OpenAI investor Microsoft, as well as Amazon, Google and Meta. “The number of companies is going to be small, just because of the resources required, and so I think there needs to be incredible scrutiny on us and our competitors,” Altman said in May of 2023.\u003c/p>\n\u003cp>Yeah, no. That’s not what has happened.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"‘I would love to have one unified, federal law that effectively addresses AI safety. Congress has not passed such a law. Congress has not even come close to passing such a law.’","name":"pullquote","attributes":{"named":{"align":"right","size":"medium","citation":"State Sen. Scott Wiener (D-San Francisco)","label":""},"numeric":[]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>“I would love to have one unified, federal law that effectively addresses AI safety. Congress has \u003ca href=\"https://techpost.bsa.org/2024/02/06/bsa-member-roundtable-what-do-we-expect-from-congress-on-tech-policy-in-2024/\">not passed such a law\u003c/a>. Congress has not even come close to passing such a law,” said Democratic State Senator Scott Wiener of San Francisco, one of a growing number of California lawmakers rolling out legislation that could provide a model for other states to follow, if not the federal government. Wiener argues his \u003ca href=\"https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=202320240SB1047\">Senate Bill 1047\u003c/a> is the most ambitious proposal so far in the country, and given that he was just named Senate Budget chair, he is arguably the best positioned at the state capitol to pass aggressive legislation that is also well-funded.\u003c/p>\n\u003cp>SB 1047 would require companies building the largest and most powerful AI models — not the wee startups — to test for safety before releasing those models to the public. What does that mean? Here’s some language from the legislation as currently written:\u003c/p>\n\u003cblockquote>\u003cp>“If not properly subject to human controls, future development in artificial intelligence may also have the potential to be used to create novel threats to public safety and security, including by enabling the creation and the proliferation of weapons of mass destruction, such as biological, chemical, and nuclear weapons, as well as weapons with cyber-offensive capabilities.”\u003c/p>\u003c/blockquote>\n\u003cp>AI companies would have to tell the state about testing protocols and guardrails, and if the tech causes “critical harm,” California’s attorney general can sue. Wiener says his legislation draws heavily on the Biden administration’s 2023 \u003ca href=\"https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/\">executive order on AI\u003c/a>.\u003c/p>\n\u003cp>\u003cstrong>Catch up fast: \u003c/strong>By software industry alliance BSA’s count, there are more than 400 AI-related bills pending across 44 states, but California’s size and sophistication make the roughly 30 bills pending in Sacramento most likely to be seen as legal landmarks, should they pass. Also, many of the largest companies working on generative AI models are based in the San Francisco Bay Area. OpenAI is based in San Francisco; so are Anthropic, Databricks and Scale AI. Meta is based in Menlo Park. Google is based in Mountain View. Seattle-based Microsoft and Amazon have offices in the San Francisco Bay Area. According to the think tank Brookings, more than 60% of generative AI jobs posted in the year ending in July 2023 were clustered in just 10 metro areas in the U.S.,\u003ca href=\"https://www.brookings.edu/articles/new-data-shows-that-without-intervention-generative-ai-jobs-will-continue-to-cluster-in-the-same-big-tech-hubs/\"> led far and away by the Bay Area\u003c/a>.\u003c/p>\n\u003cp>\u003cstrong>The context: \u003c/strong>The FTC and other regulators are exploring how to use \u003ca href=\"https://www.ftc.gov/news-events/news/press-releases/2024/02/ftc-proposes-new-protections-combat-ai-impersonation-individuals?utm_source=govdelivery\">existing laws\u003c/a> to rein in AI developers and nefarious individuals and organizations using AI to break the law, but many experts say that’s not going to be enough. Lina Khan, who heads the Federal Trade Commission, raised this question during an FTC\u003ca href=\"https://www.ftc.gov/news-events/events/2024/01/ftc-tech-summit\"> summit on AI\u003c/a> last month: “Will a handful of dominant firms concentrate control over these key tools, locking us into a future of their choosing?”\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"fullwidth"},"numeric":["fullwidth"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>\u003cstrong>The big picture: \u003c/strong>By now, you’ve probably gotten the memo: Large AI models are everywhere and doing everything — developing \u003ca href=\"https://news.mit.edu/2020/artificial-intelligence-identifies-new-antibiotic-0220\">new antibiotics\u003c/a> and helping humans \u003ca href=\"https://www.wired.com/story/use-ai-talk-to-whales-save-life-on-earth/\">communicate with whales\u003c/a>, but also turbocharging \u003ca href=\"https://www.npr.org/2024/02/08/1229641751/ai-deepfakes-election-risks-lawmakers-tech-companies-artificial-intelligence\">election-season fraud\u003c/a> and \u003ca href=\"https://www.npr.org/2023/01/31/1152652093/ai-artificial-intelligence-bot-hiring-eeoc-discrimination\">automating hiring discrimination\u003c/a>. In 2023, many world-leading experts signed a \u003ca href=\"https://www.safe.ai/statement-on-ai-risk\">statement on AI Risks\u003c/a> — “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war,” it reads.\u003c/p>\n\u003cp>\u003cstrong>What we are watching: \u003c/strong>There are at least 29 bills pending in Sacramento alone in the 2023–2024 legislative year focused on some aspect of artificial intelligence, according to \u003ca href=\"https://www.axios.com/2024/02/14/ai-bills-state-legislatures-deepfakes-bias-discrimination\">Axios\u003c/a>. More are expected to roll out in the near future, which is why the following list is a partial one.\u003c/p>\n\u003cp>\u003cimg loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-11976121\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/02/Screenshot-2024-02-15-at-3.40.49%E2%80%AFPM-e1708041434811.png\" alt=\"\" width=\"2398\" height=\"863\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/02/Screenshot-2024-02-15-at-3.40.49 PM-e1708041434811.png 2398w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/02/Screenshot-2024-02-15-at-3.40.49 PM-e1708041434811-800x288.png 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/02/Screenshot-2024-02-15-at-3.40.49 PM-e1708041434811-1020x367.png 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/02/Screenshot-2024-02-15-at-3.40.49 PM-e1708041434811-160x58.png 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/02/Screenshot-2024-02-15-at-3.40.49 PM-e1708041434811-1536x553.png 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/02/Screenshot-2024-02-15-at-3.40.49 PM-e1708041434811-2048x737.png 2048w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/02/Screenshot-2024-02-15-at-3.40.49 PM-e1708041434811-1920x691.png 1920w\" sizes=\"(max-width: 2398px) 100vw, 2398px\">\u003c/p>\n\u003cp>\u003cstrong>The opposing view: \u003c/strong>“While I think that these types of regulatory guidelines are good, I’m not sure how effective they will be,” said Hany Farid, a UC Berkeley School of Information professor specializing in digital forensics, misinformation, and human perception.\u003c/p>\n\u003cp>\u003cstrong>The bottom line:\u003c/strong> Farid added, “I don’t think it makes sense for individual states to try to regulate in this space, but if any state is going to do it, it should be California. The upside of state regulation is that it puts more pressure on the federal government to act so that we don’t end up with a chaotic state-by-state regulation of tech.”\u003c/p>\n\u003cp>“We can’t have a patchwork of state laws,” agrees Grace Gedye, an AI Policy Analyst at Consumer Reports. But, she added, “We definitely can’t hold our breath [for Congress to act] because we could be waiting 10 or 20 years.”\u003c/p>\n\u003cp>\u003c/p>\n\u003c/div>\u003c/p>","attributes":{"named":{},"numeric":[]}}],"link":"/news/11976097/california-lawmakers-take-on-ai-regulation-with-a-host-of-bills","authors":["251"],"categories":["news_8","news_248"],"tags":["news_2114","news_32668","news_27626","news_33542","news_33543","news_353","news_32029","news_1631"],"featImg":"news_11976118","label":"news"},"news_11973657":{"type":"posts","id":"news_11973657","meta":{"index":"posts_1591205157","site":"news","id":"11973657","score":null,"sort":[1706303853000]},"guestAuthors":[],"slug":"ai-software-vulnerable-to-attacks-by-both-professional-and-amateur-hackers","title":"AI Software Vulnerable to Attacks by Both Professional and Amateur Hackers","publishDate":1706303853,"format":"audio","headTitle":"AI Software Vulnerable to Attacks by Both Professional and Amateur Hackers | KQED","labelTerm":{"site":"news"},"content":"\u003cp>A few weeks ago, white hat hackers — remember, those are the good kind — identified a vulnerability in the software code powering \u003ca href=\"https://chattr.ai\">Chattr\u003c/a>, a Florida-based “AI-powered” hiring platform.\u003c/p>\n\u003cp>The backdoor these \u003ca href=\"https://mrbruh.com/chattr/\">hackers found gave them easy access\u003c/a> to names, phone numbers, email addresses, passwords and more. Because Chattr is a \u003cem>hiring\u003c/em> platform, personal details belong to job seekers and hiring managers across the country, mostly in fast food and retail.[pullquote size=\"medium\" align=\"right\" citation=\"Paul, New Zealand University student and hacker hobbyist\"]‘It’s a very competitive market, so people have to get their products up and going before anyone else can. Because of that, shortcuts get made.’[/pullquote]“A slip-up, a misconfiguration when creating their website and everything that goes with it,” said 19-year-old Paul, who asked that we not use his full name.\u003c/p>\n\u003cp>He’s a New Zealand university student and sort of a hacker hobbyist. He writes a cybersecurity blog using the pen name “MrBruh,” and his \u003ca href=\"https://mrbruh.com/chattr/\">post\u003c/a> about Chattr is titled, “How I pwned half of America’s fast food chains, simultaneously.” The term “pwned,” by the way, means compromised.\u003c/p>\n\u003cp>“It’s a very competitive market, so people have to get their products up and going before anyone else can. Because of that, shortcuts get made,” Paul said.\u003c/p>\n\u003cp>Paul and a couple of \u003ca href=\"https://kibty.town/blog/chattr\">friends\u003c/a> who conducted the hack with him said they contacted Chattr. \u003cspan style=\"font-weight: 400\">The company didn’t respond to them personally, but in a \u003c/span>\u003ca href=\"https://www.linkedin.com/feed/update/urn:li:activity:7151289760647467008/\">\u003cspan style=\"font-weight: 400\">LinkedIn post\u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\">, wrote,\u003c/span>\u003cspan style=\"font-weight: 400\"> “Our engineering team acted swiftly, initiating a comprehensive investigation to determine the extent of the breach. We are pleased to report that the vulnerability has been fixed.”\u003c/span>\u003cspan style=\"font-weight: 400\"> Paul confirmed Chattr fixed the problem within a day of being alerted. \u003c/span>\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>But there are plenty of other chatbot vulnerabilities yet to be discovered, and not always by \u003cem>white\u003c/em> hat hackers.\u003c/p>\n\u003cp>“We already live in an era of proliferating ransomware and malware. And we’re adding a new layer of vulnerabilities,” said Irina Raicu, who directs the Internet Ethics Program at the Markkula Center for Applied Ethics at Santa Clara University.\u003c/p>\n\u003cp>Raicu noted that, in the age of the internet, most companies have systems in place to protect against malicious hackers, but they’re widely understood to be inadequate.[pullquote size=\"medium\" align=\"right\" citation=\"Irina Raicu, director of internet ethics, Markkula Center for Applied Ethics at Santa Clara University\"]‘It’s also a huge problem for the government, for national security, for education, for the entire healthcare system.’[/pullquote]“Yes, and not just companies. It’s also a huge problem for the government, for national security, for education, for the entire healthcare system,” Raicu said.\u003c/p>\n\u003cp>Artificial intelligence can be helpful for those tasked with protecting software systems. But the same technology serves the other side of the conflict.\u003c/p>\n\u003cp>“All types of cyber threat actors — state and non-state, skilled and less-skilled — are already using AI, to varying degrees,” as one \u003ca href=\"https://www.ncsc.gov.uk/report/impact-of-ai-on-cyber-threat\">recent report\u003c/a> from the U.K.’s National Security Cyber Centre put it.\u003c/p>\n\u003cp>The same report goes on to warn the growing sophistication of AI “lowers the barrier” for amateur cybercriminals and hackers to access systems and gather information, extract sensitive data, paralyze computer systems, and demand ransoms.[aside postID=news_11966824 hero='https://ww2.kqed.org/app/uploads/sites/10/2023/11/DeepFakeVid-1020x676.jpg']In a \u003ca href=\"https://www.idtheftcenter.org/post/2023-annual-data-breach-report-reveals-record-number-of-compromises-72-percent-increase-over-previous-high/\">report released \u003c/a>on Jan. 25, the Identity Theft Resource Center, which tracks publicly available information about data breaches, noted: “The availability of compromised consumer data and the use of large language models [LLMs] is already resulting in vastly improved phishing lures and highly effective social engineering attacks that are driving financial losses for businesses and individuals.”\u003c/p>\n\u003cp>The \u003ca href=\"https://www.nist.gov/news-events/news/2024/01/nist-identifies-types-cyberattacks-manipulate-behavior-ai-systems\">unsolved cybersecurity issues\u003c/a> with AI chatbots, Raicu said, are likely to make us all much more vulnerable on multiple fronts. Primarily because bad or confused actors inside and outside organizations now have tools that allow them to\u003ca href=\"https://www.nist.gov/news-events/news/2024/01/nist-identifies-types-cyberattacks-manipulate-behavior-ai-systems\"> corrupt the data\u003c/a> a chatbot is working with or \u003ca href=\"https://simonwillison.net/2023/Apr/14/worst-that-can-happen/\">have it execute commands\u003c/a> that should not be executed.\u003c/p>\n\u003cp>“We’re hearing all this talk about AI governance and about responsible development and deployment of AI systems. Those conversations, if they don’t include a component about cybersecurity, then they’re not really doing what they’re claiming to be doing,” Raicu said.\u003c/p>\n\u003cp>In some states, like \u003ca href=\"https://oag.ca.gov/privacy/databreach/reporting#:~:text=California%20law%20requires%20a%20business,acquired,%20by%20an%20unauthorized%20person.\">California\u003c/a>, businesses and state agencies are legally required to take reasonable measures to protect personal information and report big data breaches to affected consumers — for what it’s worth.\u003c/p>\n\u003cp>\u003c/p>\n","blocks":[],"excerpt":"Experts stress widespread vulnerabilities as generative AI heightens traditional cybersecurity concerns. This surfaces as companies feel mounting pressure to showcase expertise or rebrand as 'AI companies.'","status":"publish","parent":0,"modified":1706459363,"stats":{"hasAudio":false,"hasVideo":false,"hasChartOrMap":false,"iframeSrcs":[],"hasGoogleForm":false,"hasGallery":false,"hasHearkenModule":false,"hasPolis":false,"paragraphCount":16,"wordCount":795},"headData":{"title":"AI Software Vulnerable to Attacks by Both Professional and Amateur Hackers | KQED","description":"Experts stress widespread vulnerabilities as generative AI heightens traditional cybersecurity concerns. This surfaces as companies feel mounting pressure to showcase expertise or rebrand as 'AI companies.'","ogTitle":"","ogDescription":"","ogImgId":"","twTitle":"","twDescription":"","twImgId":"","schema":{"@context":"http://schema.org","@type":"NewsArticle","headline":"AI Software Vulnerable to Attacks by Both Professional and Amateur Hackers","datePublished":"2024-01-26T21:17:33.000Z","dateModified":"2024-01-28T16:29:23.000Z","image":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png","isAccessibleForFree":"Y","publisher":{"@type":"NewsMediaOrganization","@id":"https://www.kqed.org/#organization","name":"KQED","url":"https://www.kqed.org","logo":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png"}}},"audioUrl":"https://traffic.omny.fm/d/clips/0af137ef-751e-4b19-a055-aaef00d2d578/ffca7e9f-6831-4[…]f-aaef00f5a073/1f78aa42-2a70-482d-bfc7-b104001ad28f/audio.mp3","sticky":false,"excludeFromSiteSearch":"Include","articleAge":"0","path":"/news/11973657/ai-software-vulnerable-to-attacks-by-both-professional-and-amateur-hackers","audioTrackLength":null,"parsedContent":[{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003cp>A few weeks ago, white hat hackers — remember, those are the good kind — identified a vulnerability in the software code powering \u003ca href=\"https://chattr.ai\">Chattr\u003c/a>, a Florida-based “AI-powered” hiring platform.\u003c/p>\n\u003cp>The backdoor these \u003ca href=\"https://mrbruh.com/chattr/\">hackers found gave them easy access\u003c/a> to names, phone numbers, email addresses, passwords and more. Because Chattr is a \u003cem>hiring\u003c/em> platform, personal details belong to job seekers and hiring managers across the country, mostly in fast food and retail.\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"‘It’s a very competitive market, so people have to get their products up and going before anyone else can. Because of that, shortcuts get made.’","name":"pullquote","attributes":{"named":{"size":"medium","align":"right","citation":"Paul, New Zealand University student and hacker hobbyist","label":""},"numeric":[]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>“A slip-up, a misconfiguration when creating their website and everything that goes with it,” said 19-year-old Paul, who asked that we not use his full name.\u003c/p>\n\u003cp>He’s a New Zealand university student and sort of a hacker hobbyist. He writes a cybersecurity blog using the pen name “MrBruh,” and his \u003ca href=\"https://mrbruh.com/chattr/\">post\u003c/a> about Chattr is titled, “How I pwned half of America’s fast food chains, simultaneously.” The term “pwned,” by the way, means compromised.\u003c/p>\n\u003cp>“It’s a very competitive market, so people have to get their products up and going before anyone else can. Because of that, shortcuts get made,” Paul said.\u003c/p>\n\u003cp>Paul and a couple of \u003ca href=\"https://kibty.town/blog/chattr\">friends\u003c/a> who conducted the hack with him said they contacted Chattr. \u003cspan style=\"font-weight: 400\">The company didn’t respond to them personally, but in a \u003c/span>\u003ca href=\"https://www.linkedin.com/feed/update/urn:li:activity:7151289760647467008/\">\u003cspan style=\"font-weight: 400\">LinkedIn post\u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\">, wrote,\u003c/span>\u003cspan style=\"font-weight: 400\"> “Our engineering team acted swiftly, initiating a comprehensive investigation to determine the extent of the breach. We are pleased to report that the vulnerability has been fixed.”\u003c/span>\u003cspan style=\"font-weight: 400\"> Paul confirmed Chattr fixed the problem within a day of being alerted. \u003c/span>\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"fullwidth"},"numeric":["fullwidth"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>But there are plenty of other chatbot vulnerabilities yet to be discovered, and not always by \u003cem>white\u003c/em> hat hackers.\u003c/p>\n\u003cp>“We already live in an era of proliferating ransomware and malware. And we’re adding a new layer of vulnerabilities,” said Irina Raicu, who directs the Internet Ethics Program at the Markkula Center for Applied Ethics at Santa Clara University.\u003c/p>\n\u003cp>Raicu noted that, in the age of the internet, most companies have systems in place to protect against malicious hackers, but they’re widely understood to be inadequate.\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"‘It’s also a huge problem for the government, for national security, for education, for the entire healthcare system.’","name":"pullquote","attributes":{"named":{"size":"medium","align":"right","citation":"Irina Raicu, director of internet ethics, Markkula Center for Applied Ethics at Santa Clara University","label":""},"numeric":[]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>“Yes, and not just companies. It’s also a huge problem for the government, for national security, for education, for the entire healthcare system,” Raicu said.\u003c/p>\n\u003cp>Artificial intelligence can be helpful for those tasked with protecting software systems. But the same technology serves the other side of the conflict.\u003c/p>\n\u003cp>“All types of cyber threat actors — state and non-state, skilled and less-skilled — are already using AI, to varying degrees,” as one \u003ca href=\"https://www.ncsc.gov.uk/report/impact-of-ai-on-cyber-threat\">recent report\u003c/a> from the U.K.’s National Security Cyber Centre put it.\u003c/p>\n\u003cp>The same report goes on to warn the growing sophistication of AI “lowers the barrier” for amateur cybercriminals and hackers to access systems and gather information, extract sensitive data, paralyze computer systems, and demand ransoms.\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"aside","attributes":{"named":{"postid":"news_11966824","hero":"https://ww2.kqed.org/app/uploads/sites/10/2023/11/DeepFakeVid-1020x676.jpg","label":""},"numeric":[]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>In a \u003ca href=\"https://www.idtheftcenter.org/post/2023-annual-data-breach-report-reveals-record-number-of-compromises-72-percent-increase-over-previous-high/\">report released \u003c/a>on Jan. 25, the Identity Theft Resource Center, which tracks publicly available information about data breaches, noted: “The availability of compromised consumer data and the use of large language models [LLMs] is already resulting in vastly improved phishing lures and highly effective social engineering attacks that are driving financial losses for businesses and individuals.”\u003c/p>\n\u003cp>The \u003ca href=\"https://www.nist.gov/news-events/news/2024/01/nist-identifies-types-cyberattacks-manipulate-behavior-ai-systems\">unsolved cybersecurity issues\u003c/a> with AI chatbots, Raicu said, are likely to make us all much more vulnerable on multiple fronts. Primarily because bad or confused actors inside and outside organizations now have tools that allow them to\u003ca href=\"https://www.nist.gov/news-events/news/2024/01/nist-identifies-types-cyberattacks-manipulate-behavior-ai-systems\"> corrupt the data\u003c/a> a chatbot is working with or \u003ca href=\"https://simonwillison.net/2023/Apr/14/worst-that-can-happen/\">have it execute commands\u003c/a> that should not be executed.\u003c/p>\n\u003cp>“We’re hearing all this talk about AI governance and about responsible development and deployment of AI systems. Those conversations, if they don’t include a component about cybersecurity, then they’re not really doing what they’re claiming to be doing,” Raicu said.\u003c/p>\n\u003cp>In some states, like \u003ca href=\"https://oag.ca.gov/privacy/databreach/reporting#:~:text=California%20law%20requires%20a%20business,acquired,%20by%20an%20unauthorized%20person.\">California\u003c/a>, businesses and state agencies are legally required to take reasonable measures to protect personal information and report big data breaches to affected consumers — for what it’s worth.\u003c/p>\n\u003cp>\u003c/p>\n\u003c/div>\u003c/p>","attributes":{"named":{},"numeric":[]}}],"link":"/news/11973657/ai-software-vulnerable-to-attacks-by-both-professional-and-amateur-hackers","authors":["251"],"categories":["news_8"],"tags":["news_25184","news_32664","news_2114","news_29676","news_17619","news_27626","news_23052","news_2736","news_353","news_1631"],"featImg":"news_11973876","label":"news"},"news_11971382":{"type":"posts","id":"news_11971382","meta":{"index":"posts_1591205157","site":"news","id":"11971382","score":null,"sort":[1704227447000]},"guestAuthors":[],"slug":"4-ways-ai-could-help-fight-climate-change","title":"4 Ways AI Could Help Fight Climate Change","publishDate":1704227447,"format":"standard","headTitle":"4 Ways AI Could Help Fight Climate Change | KQED","labelTerm":{},"content":"\u003cp>Lots of industries have embraced artificial intelligence as a tool this past year, including climate solutions companies. From detecting pollution to wildfires, companies are finding AI can help translate vast amounts of climate-related data faster and more efficiently, says Sasha Luccioni, climate lead for AI company Hugging Face.\u003c/p>\n\u003cp>Luccioni notes it’s important to be cautious about whether AI is always necessary. Generative AI, which makes new content, can use large amounts of energy and have a big carbon footprint. But she says there are many applications for AI in the green transition.\u003c/p>\n\u003cp>Here are four ways companies, researchers and governments use AI for climate solutions.\u003c/p>\n\u003ch3>Using AI to detect planet-heating methane\u003c/h3>\n\u003cp>Methane emissions, the second biggest contributor to global warming after carbon dioxide, are climbing. The highly potent pollutant — the main ingredient in natural gas — gets released by the energy sector, as well as agriculture and decomposing material in landfills.\u003c/p>\n\u003cp>Now,\u003ca href=\"https://www.ox.ac.uk/news/2023-11-23-ai-automatically-detects-methane-plumes-space-could-be-powerful-tool-combating\"> researchers\u003c/a> and \u003ca href=\"https://www.accenture.com/us-en/case-studies/utilities/duke-energy-powers-ai-platform\">companies\u003c/a> are using AI to interpret huge quantities of satellite images to track global methane emissions on a daily basis.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>“Before we could mine satellite information with AI, we had no idea where methane was coming from,” says Antoine Halff, co-founder and chief analyst at Kayrros, a climate analytics firm. “We understood the climate risk that this represented. But there was no understanding of the sources.”\u003c/p>\n\u003cp>When Kayrros began in 2016, Halff says the world knew about only a handful of occurrences of large methane leaks and other releases. He says his team can now detect dozens of them every week and thousands yearly. “For methane,” Halff says, “AI really reveals things that could not be known.”\u003c/p>\n\u003cp>The United Nations uses Kayrros’s AI-fueled data to verify that companies’ reports on methane emissions are accurate. Other governments are gearing up for more methane monitoring:\u003ca href=\"https://www.npr.org/2023/12/02/1216401828/epa-aims-to-slash-the-oil-industrys-climate-warming-methane-pollution\"> the U.S. Environmental Protection Agency\u003c/a> and\u003ca href=\"https://apnews.com/article/eu-methane-emissions-law-pollution-0c7e15ee81a05aad88e56935ae24216f\"> the European Union\u003c/a> recently passed new methane regulations.\u003c/p>\n\u003cp>Because methane is so potent, targeting it through AI makes strategic sense, Halff says. “If you eliminate methane emissions today,” he says, “you can very quickly have an impact on the curve of global warming.”\u003c/p>\n\u003cfigure id=\"attachment_11971401\" class=\"wp-caption aligncenter\" style=\"max-width: 1600px\">\u003ca href=\"https://ww2.kqed.org/news/2024/01/02/4-ways-ai-could-help-fight-climate-change/gettyimages-1351224007_custom-0e5e0ed77722cb64595a41f527f6769e6304ddff-s1600-c85/\" rel=\"attachment wp-att-11971401\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-11971401\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1351224007_custom-0e5e0ed77722cb64595a41f527f6769e6304ddff-s1600-c85.jpg\" alt=\"a field of gas and oil drills\" width=\"1600\" height=\"1054\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1351224007_custom-0e5e0ed77722cb64595a41f527f6769e6304ddff-s1600-c85.jpg 1600w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1351224007_custom-0e5e0ed77722cb64595a41f527f6769e6304ddff-s1600-c85-800x527.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1351224007_custom-0e5e0ed77722cb64595a41f527f6769e6304ddff-s1600-c85-1020x672.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1351224007_custom-0e5e0ed77722cb64595a41f527f6769e6304ddff-s1600-c85-160x105.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1351224007_custom-0e5e0ed77722cb64595a41f527f6769e6304ddff-s1600-c85-1536x1012.jpg 1536w\" sizes=\"(max-width: 1600px) 100vw, 1600px\">\u003c/a>\u003cfigcaption class=\"wp-caption-text\">Companies like KoBold Metals and Earth AI are using AI to speed up the search for critical minerals like lithium, cobalt and copper. These minerals are key for climate solutions like solar panels and electric vehicles. \u003ccite>(Lucas Aguayo Araos/Anadolu Agency via Getty Images)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003ch3>Using AI for early detection of forest fires\u003c/h3>\n\u003cp>Climate change is driving more frequent and intense wildfires, and those burns are making up an\u003ca href=\"https://news.uci.edu/2023/03/02/wildfires-in-2021-emitted-a-record-breaking-amount-of-carbon-dioxide/\"> increasing share\u003c/a> of planet-heating pollution.\u003c/p>\n\u003cp>Now, a Berlin-based startup uses AI with sensors in forests to find small burns before they spread into megafires. \u003ca href=\"https://www.dryad.net/team\">Carsten Brinkschulte\u003c/a>, CEO of Dryad, uses AI to train sensors to detect the specific gasses that get released when organic material burns.\u003c/p>\n\u003cp>“They’re basically like an electronic nose that we embed in the forest,” Brinkschulte says.\u003c/p>\n\u003cp>The nose-like sensors can detect the fires early in the smoldering stage, “when it’s still easy or relatively easy to extinguish the fire,” he says.\u003c/p>\n\u003cp>The company has 50 sensor installations from the Middle East to California. \u003ca href=\"https://www.globenewswire.com/news-release/2023/12/18/2797950/0/en/Dryad-s-Silvanet-Detects-Unauthorized-Wildfire-in-Lebanon-in-30-Minutes-Prompting-Timely-Response-and-Resolution.html\">Last month in Lebanon\u003c/a>, sensors reacted to a small fire within 30 minutes, Brinkschulte says.\u003c/p>\n\u003ch3>Using AI to prevent new wildfires\u003c/h3>\n\u003cp>Another way to stop megafires is to set “controlled burns” outside of fire season to remove the excess brush and vegetation that become fuel for fires.\u003c/p>\n\u003cp>Typically, so-called burn managers — who are people from utilities, the federal forest service or other entities — deploy teams to designated areas to set controlled burns. (Native tribes have a \u003ca href=\"https://www.npr.org/2020/08/24/899422710/to-manage-wildfire-california-looks-to-what-tribes-have-known-all-along\">long history of making these controlled burns\u003c/a>.)\u003c/p>\n\u003cp>But to do the work safely, burn managers need lots of information to know how the fire might behave so it doesn’t spin out of control. They need to know things like the wind conditions and amount of moisture in the vegetation, says Yolanda Gil, director for strategic AI and data science initiatives at the Information Sciences Institute at the University of Southern California.\u003c/p>\n\u003cp>After interviewing fire scientists, Gil and their team used AI to create a so-called intelligent or smart assistant —like Apple’s Siri or Amazon’s Alexa —that can access vast data sets and complex models. Burn managers can use these Siri-like assistants to decide where and when to make controlled burns. “It’s kind of like Siri, but for burn managers,” Gil says.\u003c/p>\n\u003cp>Gil says burn managers can ask the smart assistant about a particular area. The assistant can take information about the topography, the vegetation, weather patterns and recommend a potential burn model —a way to make a safe controlled burn, Gil says. The goal, they say, is to make these assistants widely available for utilities, the forest service, and others doing controlled burns to make them safer and plentiful.\u003c/p>\n\u003cp>They plan to send out the first prototypes of the smart assistants in the coming months.\u003c/p>\n\u003cfigure id=\"attachment_11971385\" class=\"wp-caption aligncenter\" style=\"max-width: 2542px\">\u003ca href=\"https://ww2.kqed.org/news/2024/01/02/4-ways-ai-could-help-fight-climate-change/companies-like-kobold-metals-and-earth-ai-are-using-ai-to-speed-up-the-search-for-critical-minerals-like-lithium-cobalt-and-copper-these-minerals-are-key-for-climate-solutions-like-solar-panels-and/\" rel=\"attachment wp-att-11971385\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-11971385\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1244574317-8e6dbce1f990a88457afe5db80dc8cb8d5cde292.jpg\" alt=\"a dump truck mining a field of minerals\" width=\"2542\" height=\"1907\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1244574317-8e6dbce1f990a88457afe5db80dc8cb8d5cde292.jpg 2542w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1244574317-8e6dbce1f990a88457afe5db80dc8cb8d5cde292-800x600.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1244574317-8e6dbce1f990a88457afe5db80dc8cb8d5cde292-1020x765.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1244574317-8e6dbce1f990a88457afe5db80dc8cb8d5cde292-160x120.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1244574317-8e6dbce1f990a88457afe5db80dc8cb8d5cde292-1536x1152.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1244574317-8e6dbce1f990a88457afe5db80dc8cb8d5cde292-2048x1536.jpg 2048w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1244574317-8e6dbce1f990a88457afe5db80dc8cb8d5cde292-1920x1440.jpg 1920w\" sizes=\"(max-width: 2542px) 100vw, 2542px\">\u003c/a>\u003cfigcaption class=\"wp-caption-text\">Companies like KoBold Metals and Earth AI are using AI to speed up the search for critical minerals like lithium, cobalt and copper. These minerals are key for climate solutions like solar panels and electric vehicles. \u003ccite>(Lucas Aguayo Araos/Anadolu Agency via Getty Images)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003ch3>Using AI in green tech mining\u003c/h3>\n\u003cp>Climate solutions from solar panels to electric vehicles require immense amounts of minerals like cobalt, lithium and copper. But current supplies are not enough to meet growing demand. By 2030, projected lithium demand will be five times the current global supply, according to the\u003ca href=\"https://www.iea.org/\"> International Energy Agency\u003c/a>.\u003c/p>\n\u003cp>Now, governments, researchers, and companies are using AI to explore critical minerals. Colin Williams, mineral resources program coordinator for the U.S. Geological Survey, writes in an email that his team\u003ca href=\"https://criticalminerals.darpa.mil/\"> uses AI\u003c/a> to analyze data to determine which areas in the U.S. have the best potential for mining critical metals. He adds that using AI means “dramatic time savings.”\u003c/p>\n\u003cp>There is a lot of data out there about what it looks like under the earth’s surface. Using AI to sift through all this data helps minimize uncertainty, Williams says. Because mining operations \u003ca href=\"https://www.spglobal.com/marketintelligence/en/news-insights/research/ces-2023-monetary-tightening-weighs-down-exploration-activity\">spend billions of dollars\u003c/a> trying to find profitable areas to exploit, companies say using AI can help save a lot of time and money in locating minerals.\u003c/p>\n\u003cp>Companies \u003ca href=\"https://www.spglobal.com/marketintelligence/en/news-insights/latest-news-headlines/mining-looks-to-ai-for-edge-in-finding-new-metal-76345909\">all over the world\u003c/a> —from Australian \u003ca href=\"https://sensore.com/about/\">SensOre\u003c/a> to California-based\u003ca href=\"https://www.koboldmetals.com/\"> KoBold Metals\u003c/a> —are now using AI to explore for minerals on several continents.\u003c/p>\n\u003cp>[ad floatright]\u003c/p>\n\u003cp>\u003cem>Copyright 2024 NPR. To see more, visit \u003ca>www.npr.org.\u003c/a>\u003c/em>\u003c/p>\n\n","blocks":[],"excerpt":"From detecting methane to managing controlled burns, companies use artificial intelligence to manage huge amounts of climate-related data.","status":"publish","parent":0,"modified":1704228251,"stats":{"hasAudio":false,"hasVideo":false,"hasChartOrMap":false,"iframeSrcs":[],"hasGoogleForm":false,"hasGallery":false,"hasHearkenModule":false,"hasPolis":false,"paragraphCount":27,"wordCount":1118},"headData":{"title":"4 Ways AI Could Help Fight Climate Change | KQED","description":"From detecting methane to managing controlled burns, companies use artificial intelligence to manage huge amounts of climate-related data.","ogTitle":"","ogDescription":"","ogImgId":"","twTitle":"","twDescription":"","twImgId":"","schema":{"@context":"http://schema.org","@type":"NewsArticle","headline":"4 Ways AI Could Help Fight Climate Change","datePublished":"2024-01-02T20:30:47.000Z","dateModified":"2024-01-02T20:44:11.000Z","image":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png","isAccessibleForFree":"Y","publisher":{"@type":"NewsMediaOrganization","@id":"https://www.kqed.org/#organization","name":"KQED","url":"https://www.kqed.org","logo":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png"}}},"source":"NPR","sourceUrl":"https://www.npr.org/2024/01/02/1218677963/ai-climate-change-solutions-fires-lithium-methane","sticky":false,"nprImageCredit":"Jon Putman","nprByline":"\u003ca href=\"https://www.npr.org/people/1119646476/julia-simon\">Julia Simon\u003c/a>","nprImageAgency":"SOPA Images/LightRocket via Gett","nprStoryId":"1218677963","nprApiLink":"http://api.npr.org/query?id=1218677963&apiKey=MDAxOTAwOTE4MDEyMTkxMDAzNjczZDljZA004","nprHtmlLink":"https://www.npr.org/2024/01/02/1218677963/ai-climate-change-solutions-fires-lithium-methane?ft=nprml&f=1218677963","nprRetrievedStory":"1","nprPubDate":"Tue, 02 Jan 2024 05:01:00 -0500","nprStoryDate":"Tue, 02 Jan 2024 05:01:13 -0500","nprLastModifiedDate":"Tue, 02 Jan 2024 05:01:13 -0500","nprAudio":"https://play.podtrac.com/npr-1179119151/ondemand.npr.org/anon.npr-mp3/npr/atc/2023/12/20231228_atc_ai_climate_solutions_end_of_year.mp3?orgId=1&topicId=1167&d=226&story=1218677963&ft=nprml&f=1218677963","nprAudioM3u":"http://api.npr.org/m3u/11222083710-b44a36.m3u?orgId=1&topicId=1167&d=226&story=1218677963&ft=nprml&f=1218677963","excludeFromSiteSearch":"Include","showOnAuthorArchivePages":"No","articleAge":"0","path":"/news/11971382/4-ways-ai-could-help-fight-climate-change","audioUrl":"https://play.podtrac.com/npr-1179119151/ondemand.npr.org/anon.npr-mp3/npr/atc/2023/12/20231228_atc_ai_climate_solutions_end_of_year.mp3?orgId=1&topicId=1167&d=226&story=1218677963&ft=nprml&f=1218677963","audioTrackLength":null,"parsedContent":[{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003cp>Lots of industries have embraced artificial intelligence as a tool this past year, including climate solutions companies. From detecting pollution to wildfires, companies are finding AI can help translate vast amounts of climate-related data faster and more efficiently, says Sasha Luccioni, climate lead for AI company Hugging Face.\u003c/p>\n\u003cp>Luccioni notes it’s important to be cautious about whether AI is always necessary. Generative AI, which makes new content, can use large amounts of energy and have a big carbon footprint. But she says there are many applications for AI in the green transition.\u003c/p>\n\u003cp>Here are four ways companies, researchers and governments use AI for climate solutions.\u003c/p>\n\u003ch3>Using AI to detect planet-heating methane\u003c/h3>\n\u003cp>Methane emissions, the second biggest contributor to global warming after carbon dioxide, are climbing. The highly potent pollutant — the main ingredient in natural gas — gets released by the energy sector, as well as agriculture and decomposing material in landfills.\u003c/p>\n\u003cp>Now,\u003ca href=\"https://www.ox.ac.uk/news/2023-11-23-ai-automatically-detects-methane-plumes-space-could-be-powerful-tool-combating\"> researchers\u003c/a> and \u003ca href=\"https://www.accenture.com/us-en/case-studies/utilities/duke-energy-powers-ai-platform\">companies\u003c/a> are using AI to interpret huge quantities of satellite images to track global methane emissions on a daily basis.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"fullwidth"},"numeric":["fullwidth"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>“Before we could mine satellite information with AI, we had no idea where methane was coming from,” says Antoine Halff, co-founder and chief analyst at Kayrros, a climate analytics firm. “We understood the climate risk that this represented. But there was no understanding of the sources.”\u003c/p>\n\u003cp>When Kayrros began in 2016, Halff says the world knew about only a handful of occurrences of large methane leaks and other releases. He says his team can now detect dozens of them every week and thousands yearly. “For methane,” Halff says, “AI really reveals things that could not be known.”\u003c/p>\n\u003cp>The United Nations uses Kayrros’s AI-fueled data to verify that companies’ reports on methane emissions are accurate. Other governments are gearing up for more methane monitoring:\u003ca href=\"https://www.npr.org/2023/12/02/1216401828/epa-aims-to-slash-the-oil-industrys-climate-warming-methane-pollution\"> the U.S. Environmental Protection Agency\u003c/a> and\u003ca href=\"https://apnews.com/article/eu-methane-emissions-law-pollution-0c7e15ee81a05aad88e56935ae24216f\"> the European Union\u003c/a> recently passed new methane regulations.\u003c/p>\n\u003cp>Because methane is so potent, targeting it through AI makes strategic sense, Halff says. “If you eliminate methane emissions today,” he says, “you can very quickly have an impact on the curve of global warming.”\u003c/p>\n\u003cfigure id=\"attachment_11971401\" class=\"wp-caption aligncenter\" style=\"max-width: 1600px\">\u003ca href=\"https://ww2.kqed.org/news/2024/01/02/4-ways-ai-could-help-fight-climate-change/gettyimages-1351224007_custom-0e5e0ed77722cb64595a41f527f6769e6304ddff-s1600-c85/\" rel=\"attachment wp-att-11971401\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-11971401\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1351224007_custom-0e5e0ed77722cb64595a41f527f6769e6304ddff-s1600-c85.jpg\" alt=\"a field of gas and oil drills\" width=\"1600\" height=\"1054\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1351224007_custom-0e5e0ed77722cb64595a41f527f6769e6304ddff-s1600-c85.jpg 1600w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1351224007_custom-0e5e0ed77722cb64595a41f527f6769e6304ddff-s1600-c85-800x527.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1351224007_custom-0e5e0ed77722cb64595a41f527f6769e6304ddff-s1600-c85-1020x672.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1351224007_custom-0e5e0ed77722cb64595a41f527f6769e6304ddff-s1600-c85-160x105.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1351224007_custom-0e5e0ed77722cb64595a41f527f6769e6304ddff-s1600-c85-1536x1012.jpg 1536w\" sizes=\"(max-width: 1600px) 100vw, 1600px\">\u003c/a>\u003cfigcaption class=\"wp-caption-text\">Companies like KoBold Metals and Earth AI are using AI to speed up the search for critical minerals like lithium, cobalt and copper. These minerals are key for climate solutions like solar panels and electric vehicles. \u003ccite>(Lucas Aguayo Araos/Anadolu Agency via Getty Images)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003ch3>Using AI for early detection of forest fires\u003c/h3>\n\u003cp>Climate change is driving more frequent and intense wildfires, and those burns are making up an\u003ca href=\"https://news.uci.edu/2023/03/02/wildfires-in-2021-emitted-a-record-breaking-amount-of-carbon-dioxide/\"> increasing share\u003c/a> of planet-heating pollution.\u003c/p>\n\u003cp>Now, a Berlin-based startup uses AI with sensors in forests to find small burns before they spread into megafires. \u003ca href=\"https://www.dryad.net/team\">Carsten Brinkschulte\u003c/a>, CEO of Dryad, uses AI to train sensors to detect the specific gasses that get released when organic material burns.\u003c/p>\n\u003cp>“They’re basically like an electronic nose that we embed in the forest,” Brinkschulte says.\u003c/p>\n\u003cp>The nose-like sensors can detect the fires early in the smoldering stage, “when it’s still easy or relatively easy to extinguish the fire,” he says.\u003c/p>\n\u003cp>The company has 50 sensor installations from the Middle East to California. \u003ca href=\"https://www.globenewswire.com/news-release/2023/12/18/2797950/0/en/Dryad-s-Silvanet-Detects-Unauthorized-Wildfire-in-Lebanon-in-30-Minutes-Prompting-Timely-Response-and-Resolution.html\">Last month in Lebanon\u003c/a>, sensors reacted to a small fire within 30 minutes, Brinkschulte says.\u003c/p>\n\u003ch3>Using AI to prevent new wildfires\u003c/h3>\n\u003cp>Another way to stop megafires is to set “controlled burns” outside of fire season to remove the excess brush and vegetation that become fuel for fires.\u003c/p>\n\u003cp>Typically, so-called burn managers — who are people from utilities, the federal forest service or other entities — deploy teams to designated areas to set controlled burns. (Native tribes have a \u003ca href=\"https://www.npr.org/2020/08/24/899422710/to-manage-wildfire-california-looks-to-what-tribes-have-known-all-along\">long history of making these controlled burns\u003c/a>.)\u003c/p>\n\u003cp>But to do the work safely, burn managers need lots of information to know how the fire might behave so it doesn’t spin out of control. They need to know things like the wind conditions and amount of moisture in the vegetation, says Yolanda Gil, director for strategic AI and data science initiatives at the Information Sciences Institute at the University of Southern California.\u003c/p>\n\u003cp>After interviewing fire scientists, Gil and their team used AI to create a so-called intelligent or smart assistant —like Apple’s Siri or Amazon’s Alexa —that can access vast data sets and complex models. Burn managers can use these Siri-like assistants to decide where and when to make controlled burns. “It’s kind of like Siri, but for burn managers,” Gil says.\u003c/p>\n\u003cp>Gil says burn managers can ask the smart assistant about a particular area. The assistant can take information about the topography, the vegetation, weather patterns and recommend a potential burn model —a way to make a safe controlled burn, Gil says. The goal, they say, is to make these assistants widely available for utilities, the forest service, and others doing controlled burns to make them safer and plentiful.\u003c/p>\n\u003cp>They plan to send out the first prototypes of the smart assistants in the coming months.\u003c/p>\n\u003cfigure id=\"attachment_11971385\" class=\"wp-caption aligncenter\" style=\"max-width: 2542px\">\u003ca href=\"https://ww2.kqed.org/news/2024/01/02/4-ways-ai-could-help-fight-climate-change/companies-like-kobold-metals-and-earth-ai-are-using-ai-to-speed-up-the-search-for-critical-minerals-like-lithium-cobalt-and-copper-these-minerals-are-key-for-climate-solutions-like-solar-panels-and/\" rel=\"attachment wp-att-11971385\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-11971385\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1244574317-8e6dbce1f990a88457afe5db80dc8cb8d5cde292.jpg\" alt=\"a dump truck mining a field of minerals\" width=\"2542\" height=\"1907\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1244574317-8e6dbce1f990a88457afe5db80dc8cb8d5cde292.jpg 2542w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1244574317-8e6dbce1f990a88457afe5db80dc8cb8d5cde292-800x600.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1244574317-8e6dbce1f990a88457afe5db80dc8cb8d5cde292-1020x765.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1244574317-8e6dbce1f990a88457afe5db80dc8cb8d5cde292-160x120.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1244574317-8e6dbce1f990a88457afe5db80dc8cb8d5cde292-1536x1152.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1244574317-8e6dbce1f990a88457afe5db80dc8cb8d5cde292-2048x1536.jpg 2048w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/01/gettyimages-1244574317-8e6dbce1f990a88457afe5db80dc8cb8d5cde292-1920x1440.jpg 1920w\" sizes=\"(max-width: 2542px) 100vw, 2542px\">\u003c/a>\u003cfigcaption class=\"wp-caption-text\">Companies like KoBold Metals and Earth AI are using AI to speed up the search for critical minerals like lithium, cobalt and copper. These minerals are key for climate solutions like solar panels and electric vehicles. \u003ccite>(Lucas Aguayo Araos/Anadolu Agency via Getty Images)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003ch3>Using AI in green tech mining\u003c/h3>\n\u003cp>Climate solutions from solar panels to electric vehicles require immense amounts of minerals like cobalt, lithium and copper. But current supplies are not enough to meet growing demand. By 2030, projected lithium demand will be five times the current global supply, according to the\u003ca href=\"https://www.iea.org/\"> International Energy Agency\u003c/a>.\u003c/p>\n\u003cp>Now, governments, researchers, and companies are using AI to explore critical minerals. Colin Williams, mineral resources program coordinator for the U.S. Geological Survey, writes in an email that his team\u003ca href=\"https://criticalminerals.darpa.mil/\"> uses AI\u003c/a> to analyze data to determine which areas in the U.S. have the best potential for mining critical metals. He adds that using AI means “dramatic time savings.”\u003c/p>\n\u003cp>There is a lot of data out there about what it looks like under the earth’s surface. Using AI to sift through all this data helps minimize uncertainty, Williams says. Because mining operations \u003ca href=\"https://www.spglobal.com/marketintelligence/en/news-insights/research/ces-2023-monetary-tightening-weighs-down-exploration-activity\">spend billions of dollars\u003c/a> trying to find profitable areas to exploit, companies say using AI can help save a lot of time and money in locating minerals.\u003c/p>\n\u003cp>Companies \u003ca href=\"https://www.spglobal.com/marketintelligence/en/news-insights/latest-news-headlines/mining-looks-to-ai-for-edge-in-finding-new-metal-76345909\">all over the world\u003c/a> —from Australian \u003ca href=\"https://sensore.com/about/\">SensOre\u003c/a> to California-based\u003ca href=\"https://www.koboldmetals.com/\"> KoBold Metals\u003c/a> —are now using AI to explore for minerals on several continents.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"floatright"},"numeric":["floatright"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>\u003cem>Copyright 2024 NPR. To see more, visit \u003ca>www.npr.org.\u003c/a>\u003c/em>\u003c/p>\n\n\u003c/div>\u003c/p>","attributes":{"named":{},"numeric":[]}}],"link":"/news/11971382/4-ways-ai-could-help-fight-climate-change","authors":["byline_news_11971382"],"categories":["news_8","news_356"],"tags":["news_25184","news_2114","news_255","news_328"],"affiliates":["news_253"],"featImg":"news_11971383","label":"source_news_11971382"},"news_11970442":{"type":"posts","id":"news_11970442","meta":{"index":"posts_1591205157","site":"news","id":"11970442","score":null,"sort":[1703259015000]},"guestAuthors":[],"slug":"stanford-students-develop-ai-that-can-pinpoint-your-photo-locations","title":"Stanford Students Develop AI That Can Pinpoint Your Photo Locations","publishDate":1703259015,"format":"standard","headTitle":"Stanford Students Develop AI That Can Pinpoint Your Photo Locations | KQED","labelTerm":{"term":253,"site":"news"},"content":"\u003cp>A student project has revealed yet another power of artificial intelligence — it can be extremely good at geolocating where photos are taken.\u003c/p>\n\u003cp>The project, known as Predicting Image Geolocations (or PIGEON, for short), was designed by three Stanford graduate students to identify locations on Google Street View. [pullquote size=\"medium\" align=\"right\" citation=\"Jay Stanley, senior policy analyst, American Civil Liberties Union\"]‘From a privacy point of view, your location can be a very sensitive set of information.’[/pullquote]But when presented with a few personal photos it had never seen before, the program was, in the majority of cases, able to make accurate guesses about where the photos were taken.\u003c/p>\n\u003cp>Like so many applications of AI, this new power is likely to be a double-edged sword: It may help people identify the locations of old snapshots from relatives or allow field biologists to conduct rapid surveys of entire regions for invasive plant species, to name but a few of many likely beneficial applications.\u003c/p>\n\u003cp>But it could also be used to expose information about individuals they never intended to share, says Jay Stanley, a senior policy analyst at the American Civil Liberties Union who studies technology. Stanley worries that similar technology, which he feels will almost certainly become widely available, could be used for government surveillance, corporate tracking, or even stalking.\u003c/p>\n\u003cp>“From a privacy point of view, your location can be a very sensitive set of information,” he says.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003ch2>AI has arrived at your destination\u003c/h2>\n\u003cp>It all began with a class at Stanford: Computer Science 330, Deep Multi-task and Meta Learning.\u003c/p>\n\u003cp>Three friends, Michal Skreta, Silas Alberti and Lukas Haas, needed a project, and they shared a common hobby:\u003c/p>\n\u003cp>“During that time, we were actually big players of a Swedish game called GeoGuessr,” Skreta says.\u003c/p>\n\u003cp>\u003ca href=\"https://www.geoguessr.com/\">GeoGuessr\u003c/a> is an online game that challenges players to geolocate photos. It has a pretty straightforward setup, Skreta says: “You enter the game, you’re placed somewhere in the world on Google Street View, and you’re supposed to place a pin on the map that is your best guess of the location.” [aside postID=news_11960814 hero='https://ww2.kqed.org/app/uploads/sites/10/2023/09/091123-PHOTO-AI-RM-01-KQED-1020x673.jpg']The game has over 50 million players who compete in world championships, adds Silas Alberti, another member of the project. “It has YouTubers, Twitch streamers, pro players.”\u003c/p>\n\u003cp>The students wanted to see if they could build an AI player that could do better than humans. They started with an existing system for analyzing images called \u003ca href=\"https://openai.com/research/clip\">CLIP\u003c/a>. It’s a neural network program that can learn about visual images just by reading text about them, and it’s built by OpenAI, the same company that makes ChatGPT.\u003c/p>\n\u003cp>The Stanford students trained their version of the system with images from Google Street View.\u003c/p>\n\u003cp>“We created our own dataset of around 500,000 street view images,” Alberti says. “That’s actually not that much data, [and] we were able to get quite spectacular performance.”\u003c/p>\n\u003cp>The team added additional pieces to the program, including one that helped the AI classify images by their position on the globe. When completed, the PIGEON system could identify the location of a Google Street View image anywhere on Earth. [pullquote size=\"medium\" align=\"right\" citation=\"Silas Alberti, PhD student, Stanford University\"]‘We created our own dataset of around 500,000 street view images. That’s actually not that much data, [and] we were able to get quite spectacular performance.’[/pullquote]It guesses the correct country 95% of the time and can usually pick a location within about 25 miles of the actual site.\u003c/p>\n\u003cp>Next, they pitted their algorithm against a human. Specifically, a really good human named Trevor Rainbolt. Rainbolt is a legend in geoguessing circles —he recently geolocated \u003ca href=\"https://www.instagram.com/reel/C0P96JBS-ei/?utm_source=ig_web_copy_link&igshid=MzRlODBiNWFlZA==\">a photo of a random tree\u003c/a> in Illinois, just for kicks — but he met his match with PIGEON. In \u003ca href=\"https://youtu.be/ts5lPDV--cU?si=6yPIPfSyMmVHZh8r\">a head-to-head competition\u003c/a>, he lost multiple rounds.\u003c/p>\n\u003cp>“We weren’t the first AI that played against Rainbolt,” Alberti says. “We’re just the first AI that won against Rainbolt.”\u003c/p>\n\u003ch2>Noticing the little things\u003c/h2>\n\u003cp>PIGEON excels because it can pick up on all the little clues humans can, and many more subtle ones, like slight differences in foliage, soil, and weather. [pullquote size=\"medium\" align=\"right\" citation=\"Michal Skreta, student, Stanford University\"]‘You like this destination in Italy; where in the world could you go if you want to see something similar?’[/pullquote]The group says the technology has all kinds of potential applications. It could identify roads or power lines that need fixing, help monitor biodiversity, or be used as a teaching tool.\u003c/p>\n\u003cp>Skreta believes ordinary people will also find it useful: “You like this destination in Italy; where in the world could you go if you want to see something similar?”\u003c/p>\n\u003cp>To test PIGEON’s performance, I gave it five personal photos from a trip I took across America years ago, none of which have been published online. Some photos were snapped in cities, but a few were taken in places nowhere near roads or other easily recognizable landmarks.\u003c/p>\n\u003cp>That didn’t seem to matter much.\u003c/p>\n\u003cp>It guessed a campsite in Yellowstone within around 35 miles of the actual location. The program placed another photo, taken on a street in San Francisco, within a few city blocks.\u003c/p>\n\u003cp>Not every photo was an easy match: The program mistakenly linked one image taken on the front range of Wyoming to a spot along the front range of Colorado, more than a hundred miles away. And it guessed that a picture of the Snake River Canyon in Idaho was of the Kawarau Gorge in New Zealand (in fairness, the two landscapes look remarkably similar). [aside label='More Stories on Artificial Intelligence' tag='artificial-intelligence']The ACLU’s Jay Stanley thinks despite these stumbles, the program clearly shows the potential power of AI.\u003c/p>\n\u003cp>“The fact that this was done as a student project makes you wonder what could be done by, for example, Google,” he says.\u003c/p>\n\u003cp>Google already has a feature known as “location estimation,” which uses AI to guess a photo’s location. Currently, it only uses a catalog of roughly a million landmarks rather than the\u003ca href=\"https://blog.google/products/maps/street-view-15-new-features/#:~:text=Fast%20forward%20to%20today%3A%20There,from%20their%20phone%20or%20computer.\"> 220 billion street-view images\u003c/a> that Google has collected. The company told NPR that users \u003ca href=\"https://support.google.com/photos/answer/6153599?hl=en&co=GENIE.Platform%3DAndroid\">can disable the feature\u003c/a>.\u003c/p>\n\u003cp>Stanley worries that companies might soon use AI to track where you’ve traveled or that governments might check your photos to see if you’ve visited a country on a watchlist. Stalking and abuse are also obvious threats, he says. In the past, Stanley says, people have been able to remove GPS location tagging from photos they post online. That may not work anymore.\u003c/p>\n\u003cp>The Stanford graduate students are well aware of the risks. They’ve written \u003ca href=\"https://arxiv.org/abs/2307.05845\">a paper\u003c/a> on their technique, which they co-authored with their professor, Chelsea Finn — but they’ve held back from making their full model publicly available precisely because of these concerns, they say.\u003c/p>\n\u003cp>However, Stanley thinks using AI for geolocation will become even more powerful going forward. He doubts there’s much to be done — except to be aware of what’s in the background photos you post online.\u003c/p>\n\u003cp>[ad floatright]\u003c/p>\n","blocks":[],"excerpt":"Three Stanford graduate students built an AI tool to find a location by looking at pictures. Civil rights advocates warn more advanced versions will further erode online privacy.","status":"publish","parent":0,"modified":1703361213,"stats":{"hasAudio":false,"hasVideo":false,"hasChartOrMap":false,"iframeSrcs":[],"hasGoogleForm":false,"hasGallery":false,"hasHearkenModule":false,"hasPolis":false,"paragraphCount":28,"wordCount":1260},"headData":{"title":"Stanford Students Develop AI That Can Pinpoint Your Photo Locations | KQED","description":"Three Stanford graduate students built an AI tool to find a location by looking at pictures. Civil rights advocates warn more advanced versions will further erode online privacy.","ogTitle":"","ogDescription":"","ogImgId":"","twTitle":"","twDescription":"","twImgId":"","schema":{"@context":"http://schema.org","@type":"NewsArticle","headline":"Stanford Students Develop AI That Can Pinpoint Your Photo Locations","datePublished":"2023-12-22T15:30:15.000Z","dateModified":"2023-12-23T19:53:33.000Z","image":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png","isAccessibleForFree":"Y","publisher":{"@type":"NewsMediaOrganization","@id":"https://www.kqed.org/#organization","name":"KQED","url":"https://www.kqed.org","logo":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png"}}},"sticky":false,"nprByline":"\u003ca href=\"https://www.npr.org/people/279612138/geoff-brumfiel\">Geoff Brumfiel\u003c/a>","nprImageAgency":"Courtesy of Geoff Brumfiel","nprStoryId":"1219984002","nprApiLink":"http://api.npr.org/query?id=1219984002&apiKey=MDAxOTAwOTE4MDEyMTkxMDAzNjczZDljZA004","nprHtmlLink":"https://www.npr.org/2023/12/19/1219984002/artificial-intelligence-can-find-your-location-in-photos-worrying-privacy-expert?ft=nprml&f=1219984002","nprRetrievedStory":"1","nprPubDate":"Tue, 19 Dec 2023 13:39:00 -0500","nprStoryDate":"Tue, 19 Dec 2023 05:01:02 -0500","nprLastModifiedDate":"Tue, 19 Dec 2023 13:39:31 -0500","excludeFromSiteSearch":"Include","showOnAuthorArchivePages":"No","articleAge":"0","path":"/news/11970442/stanford-students-develop-ai-that-can-pinpoint-your-photo-locations","audioTrackLength":null,"parsedContent":[{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003cp>A student project has revealed yet another power of artificial intelligence — it can be extremely good at geolocating where photos are taken.\u003c/p>\n\u003cp>The project, known as Predicting Image Geolocations (or PIGEON, for short), was designed by three Stanford graduate students to identify locations on Google Street View. \u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"‘From a privacy point of view, your location can be a very sensitive set of information.’","name":"pullquote","attributes":{"named":{"size":"medium","align":"right","citation":"Jay Stanley, senior policy analyst, American Civil Liberties Union","label":""},"numeric":[]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>But when presented with a few personal photos it had never seen before, the program was, in the majority of cases, able to make accurate guesses about where the photos were taken.\u003c/p>\n\u003cp>Like so many applications of AI, this new power is likely to be a double-edged sword: It may help people identify the locations of old snapshots from relatives or allow field biologists to conduct rapid surveys of entire regions for invasive plant species, to name but a few of many likely beneficial applications.\u003c/p>\n\u003cp>But it could also be used to expose information about individuals they never intended to share, says Jay Stanley, a senior policy analyst at the American Civil Liberties Union who studies technology. Stanley worries that similar technology, which he feels will almost certainly become widely available, could be used for government surveillance, corporate tracking, or even stalking.\u003c/p>\n\u003cp>“From a privacy point of view, your location can be a very sensitive set of information,” he says.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"fullwidth"},"numeric":["fullwidth"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003ch2>AI has arrived at your destination\u003c/h2>\n\u003cp>It all began with a class at Stanford: Computer Science 330, Deep Multi-task and Meta Learning.\u003c/p>\n\u003cp>Three friends, Michal Skreta, Silas Alberti and Lukas Haas, needed a project, and they shared a common hobby:\u003c/p>\n\u003cp>“During that time, we were actually big players of a Swedish game called GeoGuessr,” Skreta says.\u003c/p>\n\u003cp>\u003ca href=\"https://www.geoguessr.com/\">GeoGuessr\u003c/a> is an online game that challenges players to geolocate photos. It has a pretty straightforward setup, Skreta says: “You enter the game, you’re placed somewhere in the world on Google Street View, and you’re supposed to place a pin on the map that is your best guess of the location.” \u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"aside","attributes":{"named":{"postid":"news_11960814","hero":"https://ww2.kqed.org/app/uploads/sites/10/2023/09/091123-PHOTO-AI-RM-01-KQED-1020x673.jpg","label":""},"numeric":[]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>The game has over 50 million players who compete in world championships, adds Silas Alberti, another member of the project. “It has YouTubers, Twitch streamers, pro players.”\u003c/p>\n\u003cp>The students wanted to see if they could build an AI player that could do better than humans. They started with an existing system for analyzing images called \u003ca href=\"https://openai.com/research/clip\">CLIP\u003c/a>. It’s a neural network program that can learn about visual images just by reading text about them, and it’s built by OpenAI, the same company that makes ChatGPT.\u003c/p>\n\u003cp>The Stanford students trained their version of the system with images from Google Street View.\u003c/p>\n\u003cp>“We created our own dataset of around 500,000 street view images,” Alberti says. “That’s actually not that much data, [and] we were able to get quite spectacular performance.”\u003c/p>\n\u003cp>The team added additional pieces to the program, including one that helped the AI classify images by their position on the globe. When completed, the PIGEON system could identify the location of a Google Street View image anywhere on Earth. \u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"‘We created our own dataset of around 500,000 street view images. That’s actually not that much data, [and] we were able to get quite spectacular performance.’","name":"pullquote","attributes":{"named":{"size":"medium","align":"right","citation":"Silas Alberti, PhD student, Stanford University","label":""},"numeric":[]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>It guesses the correct country 95% of the time and can usually pick a location within about 25 miles of the actual site.\u003c/p>\n\u003cp>Next, they pitted their algorithm against a human. Specifically, a really good human named Trevor Rainbolt. Rainbolt is a legend in geoguessing circles —he recently geolocated \u003ca href=\"https://www.instagram.com/reel/C0P96JBS-ei/?utm_source=ig_web_copy_link&igshid=MzRlODBiNWFlZA==\">a photo of a random tree\u003c/a> in Illinois, just for kicks — but he met his match with PIGEON. In \u003ca href=\"https://youtu.be/ts5lPDV--cU?si=6yPIPfSyMmVHZh8r\">a head-to-head competition\u003c/a>, he lost multiple rounds.\u003c/p>\n\u003cp>“We weren’t the first AI that played against Rainbolt,” Alberti says. “We’re just the first AI that won against Rainbolt.”\u003c/p>\n\u003ch2>Noticing the little things\u003c/h2>\n\u003cp>PIGEON excels because it can pick up on all the little clues humans can, and many more subtle ones, like slight differences in foliage, soil, and weather. \u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"‘You like this destination in Italy; where in the world could you go if you want to see something similar?’","name":"pullquote","attributes":{"named":{"size":"medium","align":"right","citation":"Michal Skreta, student, Stanford University","label":""},"numeric":[]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>The group says the technology has all kinds of potential applications. It could identify roads or power lines that need fixing, help monitor biodiversity, or be used as a teaching tool.\u003c/p>\n\u003cp>Skreta believes ordinary people will also find it useful: “You like this destination in Italy; where in the world could you go if you want to see something similar?”\u003c/p>\n\u003cp>To test PIGEON’s performance, I gave it five personal photos from a trip I took across America years ago, none of which have been published online. Some photos were snapped in cities, but a few were taken in places nowhere near roads or other easily recognizable landmarks.\u003c/p>\n\u003cp>That didn’t seem to matter much.\u003c/p>\n\u003cp>It guessed a campsite in Yellowstone within around 35 miles of the actual location. The program placed another photo, taken on a street in San Francisco, within a few city blocks.\u003c/p>\n\u003cp>Not every photo was an easy match: The program mistakenly linked one image taken on the front range of Wyoming to a spot along the front range of Colorado, more than a hundred miles away. And it guessed that a picture of the Snake River Canyon in Idaho was of the Kawarau Gorge in New Zealand (in fairness, the two landscapes look remarkably similar). \u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"aside","attributes":{"named":{"label":"More Stories on Artificial Intelligence ","tag":"artificial-intelligence"},"numeric":[]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>The ACLU’s Jay Stanley thinks despite these stumbles, the program clearly shows the potential power of AI.\u003c/p>\n\u003cp>“The fact that this was done as a student project makes you wonder what could be done by, for example, Google,” he says.\u003c/p>\n\u003cp>Google already has a feature known as “location estimation,” which uses AI to guess a photo’s location. Currently, it only uses a catalog of roughly a million landmarks rather than the\u003ca href=\"https://blog.google/products/maps/street-view-15-new-features/#:~:text=Fast%20forward%20to%20today%3A%20There,from%20their%20phone%20or%20computer.\"> 220 billion street-view images\u003c/a> that Google has collected. The company told NPR that users \u003ca href=\"https://support.google.com/photos/answer/6153599?hl=en&co=GENIE.Platform%3DAndroid\">can disable the feature\u003c/a>.\u003c/p>\n\u003cp>Stanley worries that companies might soon use AI to track where you’ve traveled or that governments might check your photos to see if you’ve visited a country on a watchlist. Stalking and abuse are also obvious threats, he says. In the past, Stanley says, people have been able to remove GPS location tagging from photos they post online. That may not work anymore.\u003c/p>\n\u003cp>The Stanford graduate students are well aware of the risks. They’ve written \u003ca href=\"https://arxiv.org/abs/2307.05845\">a paper\u003c/a> on their technique, which they co-authored with their professor, Chelsea Finn — but they’ve held back from making their full model publicly available precisely because of these concerns, they say.\u003c/p>\n\u003cp>However, Stanley thinks using AI for geolocation will become even more powerful going forward. He doubts there’s much to be done — except to be aware of what’s in the background photos you post online.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"floatright"},"numeric":["floatright"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003c/div>\u003c/p>","attributes":{"named":{},"numeric":[]}}],"link":"/news/11970442/stanford-students-develop-ai-that-can-pinpoint-your-photo-locations","authors":["byline_news_11970442"],"categories":["news_8"],"tags":["news_25184","news_2114","news_22844","news_27626","news_33676","news_93","news_2414","news_2125","news_2672","news_1859","news_31344"],"affiliates":["news_253"],"featImg":"news_11970443","label":"news_253"}},"programsReducer":{"possible":{"id":"possible","title":"Possible","info":"Possible is hosted by entrepreneur Reid Hoffman and writer Aria Finger. 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You can also visit the MindShift website for episodes and supplemental blog posts or tweet us \u003ca href=\"https://twitter.com/MindShiftKQED\">@MindShiftKQED\u003c/a> or visit us at \u003ca href=\"/mindshift\">MindShift.KQED.org\u003c/a>","imageSrc":"https://cdn.kqed.org/wp-content/uploads/2024/04/Mindshift-Podcast-Tile-703x703-1.jpg","imageAlt":"KQED MindShift: How We Will Learn","officialWebsiteLink":"/mindshift/","meta":{"site":"news","source":"kqed","order":"2"},"link":"/podcasts/mindshift","subscribe":{"apple":"https://podcasts.apple.com/us/podcast/mindshift-podcast/id1078765985","google":"https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5tZWdhcGhvbmUuZm0vS1FJTkM1NzY0NjAwNDI5","npr":"https://www.npr.org/podcasts/464615685/mind-shift-podcast","stitcher":"https://www.stitcher.com/podcast/kqed/stories-teachers-share","spotify":"https://open.spotify.com/show/0MxSpNYZKNprFLCl7eEtyx"}},"morning-edition":{"id":"morning-edition","title":"Morning Edition","info":"\u003cem>Morning Edition\u003c/em> takes listeners around the country and the world with multi-faceted stories and commentaries every weekday. 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