Study Claiming AI Can Detect Sexual Orientation Cleared for Publication
Company Looks to Predict How Long You'll Live by Analyzing Your Face
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The paper is set to be published in the association’s peer-reviewed \u003cem>Journal of Personality and Social Psychology\u003c/em>.\u003c/p>\n\u003cp>A spokesperson for the association said it completed the review last week. The association undertook the review to substantiate an institutional review board's vetting of the study, which ensured that the study met ethical guidelines.\u003c/p>\n\u003cp>\"Given the sensitive nature of photo-images used in the current study, we are currently taking this additional step with this as yet unpublished manuscript,\" a spokesperson for the APA wrote to KQED last week, before the review was completed.\u003c/p>\n\u003cp>The research, by Michal Kosinski and Yilun Wang of Stanford University, claims that a computer algorithm bested humans in distinguishing between a gay person and a straight person when analyzing images from public profiles on a dating website. (Here is a \u003ca href=\"https://osf.io/zn79k/\" target=\"_blank\" rel=\"noopener noreferrer\">preprint\u003c/a> of the study; it's not necessarily the final version of the paper.)Researchers claim AI can be taught to predict sexual orientation from analyzing photographs. LGBTQ advocates are outraged.\u003c/p>\n\u003cp>The research had led to a firestorm of criticism from LGBTQ advocates and academics since it was \u003ca href=\"https://www.economist.com/news/science-and-technology/21728614-machines-read-faces-are-coming-advances-ai-are-used-spot-signs?fsrc=scn/tw/te/bl/ed/advancesinaiareusedtospotsignsofsexuality\" target=\"_blank\" rel=\"noopener noreferrer\">first reported\u003c/a> Sept. 9 by The Economist. Two gay rights groups, Human Rights Campaign and GLAAD, \u003ca href=\"https://www.glaad.org/blog/glaad-and-hrc-call-stanford-university-responsible-media-debunk-dangerous-flawed-report\" target=\"_blank\" rel=\"noopener noreferrer\">called the research,\u003c/a> in a joint press release, \"junk science.\"\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>\u003cstrong>Analyzing Faces\u003c/strong>\u003c/p>\n\u003cp>Using basic facial-recognition technology, the researchers weeded through 130,741 public photos of men and women posted on a U.S. dating website, selecting for images that showed a single face large and clear enough to analyze. This left a pool of 35,326 pictures of 14,776 individuals. Gay and straight people, male and female, were represented evenly.\u003c/p>\n\u003cp>Software called VGG-Face analyzed the faces and looked for correlations between a person's face (nose length, jaw width, etc.) and their self-declared sexual identity on the website. Using a resulting model made up of these distinguishing characteristics, the program, when shown one photo of a gay man and one of a straight man, was able to identify their sexual orientation 81 percent of the time. For women, the success rate was 71 percent. (Accuracy increased when the model was shown more than one image of a person.) Human guessers correctly identified straight faces and gay faces just 61 percent of the time for men and 54 percent for women.\u003c/p>\n\u003cp>The researchers say in the paper that these results \"provide strong support\" for the prenatal hormone theory of gay and lesbian sexual orientation. The theory holds that under or overexposure to prenatal androgens are a key determinant of sexual orientation.\u003c/p>\n\u003cp>In an \u003ca href=\"https://docs.google.com/document/d/11oGZ1Ke3wK9E3BtOFfGfUQuuaSMR8AO2WfWH3aVke6U/preview#\" target=\"_blank\" rel=\"noopener noreferrer\">authors' note\u003c/a> (last updated Sept. 13), the researchers discuss the study's limitations at some length, including the narrow demographic characteristics of the individuals analyzed -- white people who self-reported to be gay or straight. They also expressed concerns about the implications of the study:\u003c/p>\n\u003cblockquote>\u003cp>\u003cspan style=\"font-weight: 400\">We were really disturbed by these results and spent much time considering whether they should be made public at all. We did not want to enable the very risks that we are warning against. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Recent press reports,\u003c/span>\u003cspan style=\"font-weight: 400\"> however, suggest that governments and corporations are already using tools aimed at revealing intimate traits from faces. Facial images of billions of people are stockpiled in digital and traditional archives, including dating platforms, photo-sharing websites, and government databases. Profile pictures on Facebook, LinkedIn, and Google Plus are public by default. CCTV cameras and smartphones can be used to take pictures of others’ faces without their permission.\u003c/span>\u003c/p>\u003c/blockquote>\n\u003cp>Critics of the research expressed concerns that it will lead to the very invasion of privacy the authors seek to warn against. HRC/GLAAD also criticized the limited demographic pool used by the researchers, the \"superficial\" nature of the characteristics analyzed in the model, and the way media have represented the study.\u003c/p>\n\u003cp>The \u003ca href=\"https://docs.google.com/document/d/1UuEcSNFMduIaf0cOWdWbOV3NORLoKWdz3big4xuk7Z4/edit#\" target=\"_blank\" rel=\"noopener noreferrer\">authors responded\u003c/a> angrily, calling the HRC/GLAAD press release premature and misleading. \"\u003cspan style=\"font-weight: 400\">They do a great disservice to the LGBTQ community by dismissing our results outright without properly assessing the science behind it, and hurt the mission of the great organizations that they represent,\" they wrote. \u003c/span>\u003c/p>\n\u003cp>The researchers also stressed, in their authors' note, that they did not invent the tools used. Rather, they applied internet-available software to internet-available data, with the goal of demonstrating the privacy risks inherent in artificially intelligent technologies.\u003c/p>\n\u003cp>\"We studied existing technologies,\" wrote Kosinski and Wang, already widely used by companies and governments, to see whether they present a risk to the privacy of LGBTQ individuals.\"\u003c/p>\n\u003cp>They added, \"We were terrified to find that they do.\"\u003c/p>\n\u003cp>Such tools present a special threat, said the authors, to the privacy and safety of gay men and women living under repressive regimes where homosexuality is illegal.\u003c/p>\n\u003cp>But other LGBT academics and writers did not accept this line of reasoning. Oberlin sociology professor Greggor Mattson wrote a \u003ca href=\"https://greggormattson.com/2017/09/09/artificial-intelligence-discovers-gayface/\" target=\"_blank\" rel=\"noopener noreferrer\">takedown,\u003c/a> published on his website, describing the study as \"much less insightful than the researchers claim.\" The authors' discussion of their ethical concerns suffered from \"stunning tone-deafness,\" Mattson wrote.\u003c/p>\n\u003cp>At least one LGBT blogger, though, came to the researchers' defense.\u003c/p>\n\u003cp>Alex Bollinger, writing at LGBTQ Nation, wrote a \u003ca href=\"https://www.lgbtqnation.com/2017/09/hrc-glaad-release-silly-statement-gay-face-study/\" target=\"_blank\" rel=\"noopener noreferrer\">post \u003c/a>titled \"HRC and GLAAD release a silly statement about the ‘gay face’ study.\"\u003c/p>\n\u003cblockquote>\u003cp>\"We should take a stance of curiosity instead of judgment.\u003c/p>\n\u003cp>\"This is just one study that looked at one sample and said a few things. There will be more studies later on that will say other things. Let’s see how that all unfolds before deciding what the correct answer is.\"\u003c/p>\u003c/blockquote>\n\u003cp>\u003c/p>\n\u003cp>\u003cem>This post was edited Oct. 9 to specify the nature of the American Psychological Association's review of the study.\u003c/em>\u003c/p>\n\n","blocks":[],"excerpt":"Stanford researchers claim AI can be taught to predict sexual orientation from photographs, and a firestorm ensues.","status":"publish","parent":0,"modified":1507591124,"stats":{"hasAudio":false,"hasVideo":false,"hasChartOrMap":false,"iframeSrcs":[],"hasGoogleForm":false,"hasGallery":false,"hasHearkenModule":false,"hasPolis":false,"paragraphCount":26,"wordCount":996},"headData":{"title":"Study Claiming AI Can Detect Sexual Orientation Cleared for Publication | KQED","description":"Stanford researchers claim AI can be taught to predict sexual orientation from photographs, and a firestorm ensues.","ogTitle":"","ogDescription":"","ogImgId":"","twTitle":"","twDescription":"","twImgId":"","schema":{"@context":"http://schema.org","@type":"Article","headline":"Study Claiming AI Can Detect Sexual Orientation Cleared for Publication","datePublished":"2017-09-13T18:17:18.000Z","dateModified":"2017-10-09T23:18:44.000Z","image":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png"}},"disqusIdentifier":"435378 https://ww2.kqed.org/futureofyou/?p=435378","disqusUrl":"https://ww2.kqed.org/futureofyou/2017/09/13/can-facial-recognition-detect-sexual-orientation-controversial-stanford-study-now-under-ethical-review/","disqusTitle":"Study Claiming AI Can Detect Sexual Orientation Cleared for Publication","source":"Future of You","path":"/futureofyou/435378/can-facial-recognition-detect-sexual-orientation-controversial-stanford-study-now-under-ethical-review","audioTrackLength":null,"parsedContent":[{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003cp>\u003cstrong>Update, Sept. 19:\u003c/strong> The American Psychological Association says that a controversial research paper that applied computer facial recognition to successfully guess people’s sexual orientation has passed a review of documentation submitted by the researchers. The paper is set to be published in the association’s peer-reviewed \u003cem>Journal of Personality and Social Psychology\u003c/em>.\u003c/p>\n\u003cp>A spokesperson for the association said it completed the review last week. The association undertook the review to substantiate an institutional review board's vetting of the study, which ensured that the study met ethical guidelines.\u003c/p>\n\u003cp>\"Given the sensitive nature of photo-images used in the current study, we are currently taking this additional step with this as yet unpublished manuscript,\" a spokesperson for the APA wrote to KQED last week, before the review was completed.\u003c/p>\n\u003cp>The research, by Michal Kosinski and Yilun Wang of Stanford University, claims that a computer algorithm bested humans in distinguishing between a gay person and a straight person when analyzing images from public profiles on a dating website. (Here is a \u003ca href=\"https://osf.io/zn79k/\" target=\"_blank\" rel=\"noopener noreferrer\">preprint\u003c/a> of the study; it's not necessarily the final version of the paper.)Researchers claim AI can be taught to predict sexual orientation from analyzing photographs. LGBTQ advocates are outraged.\u003c/p>\n\u003cp>The research had led to a firestorm of criticism from LGBTQ advocates and academics since it was \u003ca href=\"https://www.economist.com/news/science-and-technology/21728614-machines-read-faces-are-coming-advances-ai-are-used-spot-signs?fsrc=scn/tw/te/bl/ed/advancesinaiareusedtospotsignsofsexuality\" target=\"_blank\" rel=\"noopener noreferrer\">first reported\u003c/a> Sept. 9 by The Economist. Two gay rights groups, Human Rights Campaign and GLAAD, \u003ca href=\"https://www.glaad.org/blog/glaad-and-hrc-call-stanford-university-responsible-media-debunk-dangerous-flawed-report\" target=\"_blank\" rel=\"noopener noreferrer\">called the research,\u003c/a> in a joint press release, \"junk science.\"\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>Analyzing Faces\u003c/strong>\u003c/p>\n\u003cp>Using basic facial-recognition technology, the researchers weeded through 130,741 public photos of men and women posted on a U.S. dating website, selecting for images that showed a single face large and clear enough to analyze. This left a pool of 35,326 pictures of 14,776 individuals. Gay and straight people, male and female, were represented evenly.\u003c/p>\n\u003cp>Software called VGG-Face analyzed the faces and looked for correlations between a person's face (nose length, jaw width, etc.) and their self-declared sexual identity on the website. Using a resulting model made up of these distinguishing characteristics, the program, when shown one photo of a gay man and one of a straight man, was able to identify their sexual orientation 81 percent of the time. For women, the success rate was 71 percent. (Accuracy increased when the model was shown more than one image of a person.) Human guessers correctly identified straight faces and gay faces just 61 percent of the time for men and 54 percent for women.\u003c/p>\n\u003cp>The researchers say in the paper that these results \"provide strong support\" for the prenatal hormone theory of gay and lesbian sexual orientation. The theory holds that under or overexposure to prenatal androgens are a key determinant of sexual orientation.\u003c/p>\n\u003cp>In an \u003ca href=\"https://docs.google.com/document/d/11oGZ1Ke3wK9E3BtOFfGfUQuuaSMR8AO2WfWH3aVke6U/preview#\" target=\"_blank\" rel=\"noopener noreferrer\">authors' note\u003c/a> (last updated Sept. 13), the researchers discuss the study's limitations at some length, including the narrow demographic characteristics of the individuals analyzed -- white people who self-reported to be gay or straight. They also expressed concerns about the implications of the study:\u003c/p>\n\u003cblockquote>\u003cp>\u003cspan style=\"font-weight: 400\">We were really disturbed by these results and spent much time considering whether they should be made public at all. We did not want to enable the very risks that we are warning against. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Recent press reports,\u003c/span>\u003cspan style=\"font-weight: 400\"> however, suggest that governments and corporations are already using tools aimed at revealing intimate traits from faces. Facial images of billions of people are stockpiled in digital and traditional archives, including dating platforms, photo-sharing websites, and government databases. Profile pictures on Facebook, LinkedIn, and Google Plus are public by default. CCTV cameras and smartphones can be used to take pictures of others’ faces without their permission.\u003c/span>\u003c/p>\u003c/blockquote>\n\u003cp>Critics of the research expressed concerns that it will lead to the very invasion of privacy the authors seek to warn against. HRC/GLAAD also criticized the limited demographic pool used by the researchers, the \"superficial\" nature of the characteristics analyzed in the model, and the way media have represented the study.\u003c/p>\n\u003cp>The \u003ca href=\"https://docs.google.com/document/d/1UuEcSNFMduIaf0cOWdWbOV3NORLoKWdz3big4xuk7Z4/edit#\" target=\"_blank\" rel=\"noopener noreferrer\">authors responded\u003c/a> angrily, calling the HRC/GLAAD press release premature and misleading. \"\u003cspan style=\"font-weight: 400\">They do a great disservice to the LGBTQ community by dismissing our results outright without properly assessing the science behind it, and hurt the mission of the great organizations that they represent,\" they wrote. \u003c/span>\u003c/p>\n\u003cp>The researchers also stressed, in their authors' note, that they did not invent the tools used. Rather, they applied internet-available software to internet-available data, with the goal of demonstrating the privacy risks inherent in artificially intelligent technologies.\u003c/p>\n\u003cp>\"We studied existing technologies,\" wrote Kosinski and Wang, already widely used by companies and governments, to see whether they present a risk to the privacy of LGBTQ individuals.\"\u003c/p>\n\u003cp>They added, \"We were terrified to find that they do.\"\u003c/p>\n\u003cp>Such tools present a special threat, said the authors, to the privacy and safety of gay men and women living under repressive regimes where homosexuality is illegal.\u003c/p>\n\u003cp>But other LGBT academics and writers did not accept this line of reasoning. Oberlin sociology professor Greggor Mattson wrote a \u003ca href=\"https://greggormattson.com/2017/09/09/artificial-intelligence-discovers-gayface/\" target=\"_blank\" rel=\"noopener noreferrer\">takedown,\u003c/a> published on his website, describing the study as \"much less insightful than the researchers claim.\" The authors' discussion of their ethical concerns suffered from \"stunning tone-deafness,\" Mattson wrote.\u003c/p>\n\u003cp>At least one LGBT blogger, though, came to the researchers' defense.\u003c/p>\n\u003cp>Alex Bollinger, writing at LGBTQ Nation, wrote a \u003ca href=\"https://www.lgbtqnation.com/2017/09/hrc-glaad-release-silly-statement-gay-face-study/\" target=\"_blank\" rel=\"noopener noreferrer\">post \u003c/a>titled \"HRC and GLAAD release a silly statement about the ‘gay face’ study.\"\u003c/p>\n\u003cblockquote>\u003cp>\"We should take a stance of curiosity instead of judgment.\u003c/p>\n\u003cp>\"This is just one study that looked at one sample and said a few things. There will be more studies later on that will say other things. Let’s see how that all unfolds before deciding what the correct answer is.\"\u003c/p>\u003c/blockquote>\n\u003cp>\u003c/p>\n\u003cp>\u003cem>This post was edited Oct. 9 to specify the nature of the American Psychological Association's review of the study.\u003c/em>\u003c/p>\n\n\u003c/div>\u003c/p>","attributes":{"named":{},"numeric":[]}}],"link":"/futureofyou/435378/can-facial-recognition-detect-sexual-orientation-controversial-stanford-study-now-under-ethical-review","authors":["11088"],"categories":["futureofyou_452","futureofyou_1","futureofyou_73"],"tags":["futureofyou_849","futureofyou_1253","futureofyou_470"],"featImg":"futureofyou_435379","label":"source_futureofyou_435378"},"futureofyou_379402":{"type":"posts","id":"futureofyou_379402","meta":{"index":"posts_1591205157","site":"futureofyou","id":"379402","score":null,"sort":[1493225338000]},"guestAuthors":[],"slug":"company-looks-to-predict-how-long-youll-live-by-analyzing-your-face","title":"Company Looks to Predict How Long You'll Live by Analyzing Your Face","publishDate":1493225338,"format":"standard","headTitle":"KQED Future of You | KQED Science","labelTerm":{"site":"futureofyou"},"content":"\u003cp>A selfie reveals more than whether it's a good hair day. Facial lines and contours, droops and dark spots could indicate how well you're aging, and, when paired with other data, could someday help determine whether you qualify for life insurance.\u003c/p>\n\u003caside class=\"pullquote alignright\">'Your face is something you wear all your life, and it tells a very unique story about you.'\u003c/aside>\n\u003cp>\"Your face is something you wear all your life, and it tells a very unique story about you,\" says Karl Ricanek Jr., co-founder and chief data scientist at Lapetus Solutions Inc. in Wilmington, North Carolina.\u003c/p>\n\u003cp>Several life insurance companies are testing Lapetus technology that uses facial analytics and other data to estimate life expectancy, he says. (Lapetus would not disclose the names of companies testing its product.) Insurers use life expectancy estimates to make policy approval and pricing decisions. Lapetus says its product, Chronos, would enable a customer to buy life insurance online in as little as 10 minutes without taking a life insurance medical exam .\u003c/p>\n\u003cp>Life insurers already gather other data with your permission to get insight beyond the information you supply on the application. For example, they often pull motor vehicle records, prescription drug histories and reports from an insurance industry database of certain information disclosed on past individual life and health insurance applications.\u003c/p>\n\u003cp>Many life insurance companies are exploring how to use additional data, statistical models, artificial intelligence and other techniques to help make quick decisions to ease the policy buying process and boost sales. Consumers don't like the wait on the typical application process, which can take weeks and often requires a medical exam.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>Time and testing will tell which new approaches prove effective, says Robert Kerzner, president and CEO of LIMRA, a life insurance trade group. \"This one may or may not meet the vetting process to make carriers comfortable,\" he says.\u003c/p>\n\u003cp>It's important for the consumer to feel comfortable, too. It's one thing to post a selfie on Instagram, another to send it to an insurer for analysis. And it's crucial for consumers that any technology an insurer uses works. Their claims may not be fully paid if insurers make inaccurate predictions and go belly up.\u003c/p>\n\u003cp>\u003cstrong>Written All Over Your Face\u003c/strong>\u003c/p>\n\u003cp>If Chronos is adopted by an insurer - which would need to get regulatory approval from states to use it in the underwriting process - here's generally how it would work.\u003c/p>\n\u003cp>You'd upload a selfie to the insurer online and answer health and other questions. The facial analytics technology would scan hundreds of points on your face and extract certain information, including your body mass index, physiological age (in layman's terms, how old you look) and whether you're aging faster or slower than your actual age.\u003c/p>\n\u003cp>Ricanek says the program can detect makeup, but not plastic surgery. It verifies identity by comparing the photo to the one on your driver's license.\u003c/p>\n\u003cp>The insurer would combine the results with your application answers and, if it chooses, any other information it typically pulls. If approved for coverage, you could buy a policy immediately online.\u003c/p>\n\u003cp>Several of the largest life insurers contacted for this story declined to comment on the Lapetus product or the potential use of facial analytics in the underwriting process.\u003c/p>\n\u003cp>Ricanek worked on facial recognition technology for the FBI's Biometric Center of Excellence and is a computer science professor at the University of North Carolina at Wilmington. He started Lapetus with S. Jay Olshansky, a public health professor at the University of Illinois at Chicago. Lapetus launched Chronos, its first product, in November 2015.\u003c/p>\n\u003cp>\u003cstrong>Shortening the Wait\u003c/strong>\u003c/p>\n\u003cp>Insurers are in a tough spot because consumers are used to buying products instantly. But it can take a month or longer to approve coverage if the insurer requires a medical exam.\u003c/p>\n\u003cp>Exams cost insurers money, says Samantha Chow, a life insurance and annuities senior analyst for Aite Group, a research and advisory firm in Boston.\u003c/p>\n\u003cp>And fewer people are buying. In 2016, an estimated 9.4 million individual policies were sold, down from 17.7 million individual policies in 1984, according to LIMRA.\u003c/p>\n\u003cp>Consumers don't like waiting. Only 42 percent of consumers said it was OK to wait a month for policy approval, and less than 18 percent said waiting for two months was acceptable, according to a 2015 study by LIMRA and Life Happens, another trade group.\u003c/p>\n\u003cp>Chow tested the Lapetus platform as part of research of automated underwriting for Aite. She says the ease of the process could appeal to consumers who want a quick way to buy coverage.\u003c/p>\n\u003cp>\u003cstrong>Photo Ops\u003c/strong>\u003c/p>\n\u003cp>Ricanek says his company's market research found that consumers are willing to share photos with insurers if they get something back, such as the opportunity to buy coverage quickly.\u003c/p>\n\u003cp>Amy Bach, executive director of consumer advocacy group United Policyholders, says such technology could be good for consumers if it makes the application process easier.\u003c/p>\n\u003cp>But she says she is concerned that insurers may rely too heavily on new technology and find later that their risk projections were off.\u003cbr>\nMeanwhile, Lapetus is exploring how facial analytics may identify early signs of diseases such as diabetes, heart disease or dementia. And it's developing a feature that it says will be able to tell whether someone ever smoked. Among the clues are early signs of crow's feet around the eyes and under-eye bagging.\u003c/p>\n\u003cp>\"Smoking is going to be written on your face,\" Ricanek says. \"Even if you stopped smoking, once it's written, it's there.\"\u003c/p>\n\u003cp>\u003c/p>\n\u003cp>\u003cem>This article was provided to The Associated Press by the personal finance website NerdWallet. Email staff writer Barbara Marquand: bmarquand@nerdwallet.com. Twitter: @barbaramarquand.\u003c/em>\u003c/p>\n\n","blocks":[],"excerpt":"The biodemography firm Lapetus wants life insurance companies to use its facial analytics technology to help estimate life expectancy.","status":"publish","parent":0,"modified":1493225338,"stats":{"hasAudio":false,"hasVideo":false,"hasChartOrMap":false,"iframeSrcs":[],"hasGoogleForm":false,"hasGallery":false,"hasHearkenModule":false,"hasPolis":false,"paragraphCount":28,"wordCount":952},"headData":{"title":"Company Looks to Predict How Long You'll Live by Analyzing Your Face | KQED","description":"The biodemography firm Lapetus wants life insurance companies to use its facial analytics technology to help estimate life expectancy.","ogTitle":"","ogDescription":"","ogImgId":"","twTitle":"","twDescription":"","twImgId":"","schema":{"@context":"http://schema.org","@type":"Article","headline":"Company Looks to Predict How Long You'll Live by Analyzing Your Face","datePublished":"2017-04-26T16:48:58.000Z","dateModified":"2017-04-26T16:48:58.000Z","image":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png"}},"disqusIdentifier":"379402 https://ww2.kqed.org/futureofyou/?p=379402","disqusUrl":"https://ww2.kqed.org/futureofyou/2017/04/26/company-looks-to-predict-how-long-youll-live-by-analyzing-your-face/","disqusTitle":"Company Looks to Predict How Long You'll Live by Analyzing Your Face","nprByline":"Barbara Marquand\u003cbr />NerdWallet","path":"/futureofyou/379402/company-looks-to-predict-how-long-youll-live-by-analyzing-your-face","audioTrackLength":null,"parsedContent":[{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003cp>A selfie reveals more than whether it's a good hair day. Facial lines and contours, droops and dark spots could indicate how well you're aging, and, when paired with other data, could someday help determine whether you qualify for life insurance.\u003c/p>\n\u003caside class=\"pullquote alignright\">'Your face is something you wear all your life, and it tells a very unique story about you.'\u003c/aside>\n\u003cp>\"Your face is something you wear all your life, and it tells a very unique story about you,\" says Karl Ricanek Jr., co-founder and chief data scientist at Lapetus Solutions Inc. in Wilmington, North Carolina.\u003c/p>\n\u003cp>Several life insurance companies are testing Lapetus technology that uses facial analytics and other data to estimate life expectancy, he says. (Lapetus would not disclose the names of companies testing its product.) Insurers use life expectancy estimates to make policy approval and pricing decisions. Lapetus says its product, Chronos, would enable a customer to buy life insurance online in as little as 10 minutes without taking a life insurance medical exam .\u003c/p>\n\u003cp>Life insurers already gather other data with your permission to get insight beyond the information you supply on the application. For example, they often pull motor vehicle records, prescription drug histories and reports from an insurance industry database of certain information disclosed on past individual life and health insurance applications.\u003c/p>\n\u003cp>Many life insurance companies are exploring how to use additional data, statistical models, artificial intelligence and other techniques to help make quick decisions to ease the policy buying process and boost sales. Consumers don't like the wait on the typical application process, which can take weeks and often requires a medical exam.\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>Time and testing will tell which new approaches prove effective, says Robert Kerzner, president and CEO of LIMRA, a life insurance trade group. \"This one may or may not meet the vetting process to make carriers comfortable,\" he says.\u003c/p>\n\u003cp>It's important for the consumer to feel comfortable, too. It's one thing to post a selfie on Instagram, another to send it to an insurer for analysis. And it's crucial for consumers that any technology an insurer uses works. Their claims may not be fully paid if insurers make inaccurate predictions and go belly up.\u003c/p>\n\u003cp>\u003cstrong>Written All Over Your Face\u003c/strong>\u003c/p>\n\u003cp>If Chronos is adopted by an insurer - which would need to get regulatory approval from states to use it in the underwriting process - here's generally how it would work.\u003c/p>\n\u003cp>You'd upload a selfie to the insurer online and answer health and other questions. The facial analytics technology would scan hundreds of points on your face and extract certain information, including your body mass index, physiological age (in layman's terms, how old you look) and whether you're aging faster or slower than your actual age.\u003c/p>\n\u003cp>Ricanek says the program can detect makeup, but not plastic surgery. It verifies identity by comparing the photo to the one on your driver's license.\u003c/p>\n\u003cp>The insurer would combine the results with your application answers and, if it chooses, any other information it typically pulls. If approved for coverage, you could buy a policy immediately online.\u003c/p>\n\u003cp>Several of the largest life insurers contacted for this story declined to comment on the Lapetus product or the potential use of facial analytics in the underwriting process.\u003c/p>\n\u003cp>Ricanek worked on facial recognition technology for the FBI's Biometric Center of Excellence and is a computer science professor at the University of North Carolina at Wilmington. He started Lapetus with S. Jay Olshansky, a public health professor at the University of Illinois at Chicago. Lapetus launched Chronos, its first product, in November 2015.\u003c/p>\n\u003cp>\u003cstrong>Shortening the Wait\u003c/strong>\u003c/p>\n\u003cp>Insurers are in a tough spot because consumers are used to buying products instantly. But it can take a month or longer to approve coverage if the insurer requires a medical exam.\u003c/p>\n\u003cp>Exams cost insurers money, says Samantha Chow, a life insurance and annuities senior analyst for Aite Group, a research and advisory firm in Boston.\u003c/p>\n\u003cp>And fewer people are buying. In 2016, an estimated 9.4 million individual policies were sold, down from 17.7 million individual policies in 1984, according to LIMRA.\u003c/p>\n\u003cp>Consumers don't like waiting. Only 42 percent of consumers said it was OK to wait a month for policy approval, and less than 18 percent said waiting for two months was acceptable, according to a 2015 study by LIMRA and Life Happens, another trade group.\u003c/p>\n\u003cp>Chow tested the Lapetus platform as part of research of automated underwriting for Aite. She says the ease of the process could appeal to consumers who want a quick way to buy coverage.\u003c/p>\n\u003cp>\u003cstrong>Photo Ops\u003c/strong>\u003c/p>\n\u003cp>Ricanek says his company's market research found that consumers are willing to share photos with insurers if they get something back, such as the opportunity to buy coverage quickly.\u003c/p>\n\u003cp>Amy Bach, executive director of consumer advocacy group United Policyholders, says such technology could be good for consumers if it makes the application process easier.\u003c/p>\n\u003cp>But she says she is concerned that insurers may rely too heavily on new technology and find later that their risk projections were off.\u003cbr>\nMeanwhile, Lapetus is exploring how facial analytics may identify early signs of diseases such as diabetes, heart disease or dementia. And it's developing a feature that it says will be able to tell whether someone ever smoked. Among the clues are early signs of crow's feet around the eyes and under-eye bagging.\u003c/p>\n\u003cp>\"Smoking is going to be written on your face,\" Ricanek says. \"Even if you stopped smoking, once it's written, it's there.\"\u003c/p>\n\u003cp>\u003c/p>\n\u003cp>\u003cem>This article was provided to The Associated Press by the personal finance website NerdWallet. Email staff writer Barbara Marquand: bmarquand@nerdwallet.com. Twitter: @barbaramarquand.\u003c/em>\u003c/p>\n\n\u003c/div>\u003c/p>","attributes":{"named":{},"numeric":[]}}],"link":"/futureofyou/379402/company-looks-to-predict-how-long-youll-live-by-analyzing-your-face","authors":["byline_futureofyou_379402"],"categories":["futureofyou_1"],"tags":["futureofyou_1253","futureofyou_1251","futureofyou_1252"],"featImg":"futureofyou_304140","label":"futureofyou"}},"programsReducer":{"possible":{"id":"possible","title":"Possible","info":"Possible is hosted by entrepreneur Reid Hoffman and writer Aria Finger. Together in Possible, Hoffman and Finger lead enlightening discussions about building a brighter collective future. The show features interviews with visionary guests like Trevor Noah, Sam Altman and Janette Sadik-Khan. Possible paints an optimistic portrait of the world we can create through science, policy, business, art and our shared humanity. It asks: What if everything goes right for once? How can we get there? Each episode also includes a short fiction story generated by advanced AI GPT-4, serving as a thought-provoking springboard to speculate how humanity could leverage technology for good.","airtime":"SUN 2pm","imageSrc":"https://cdn.kqed.org/wp-content/uploads/2024/04/Possible-Podcast-Tile-360x360-1.jpg","officialWebsiteLink":"https://www.possible.fm/","meta":{"site":"news","source":"Possible"},"link":"/radio/program/possible","subscribe":{"apple":"https://podcasts.apple.com/us/podcast/possible/id1677184070","spotify":"https://open.spotify.com/show/730YpdUSNlMyPQwNnyjp4k"}},"1a":{"id":"1a","title":"1A","info":"1A is home to the national conversation. 1A brings on great guests and frames the best debate in ways that make you think, share and engage.","airtime":"MON-THU 11pm-12am","imageSrc":"https://ww2.kqed.org/radio/wp-content/uploads/sites/50/2018/04/1a.jpg","officialWebsiteLink":"https://the1a.org/","meta":{"site":"news","source":"npr"},"link":"/radio/program/1a","subscribe":{"npr":"https://rpb3r.app.goo.gl/RBrW","apple":"https://itunes.apple.com/WebObjects/MZStore.woa/wa/viewPodcast?s=143441&mt=2&id=1188724250&at=11l79Y&ct=nprdirectory","tuneIn":"https://tunein.com/radio/1A-p947376/","rss":"https://feeds.npr.org/510316/podcast.xml"}},"all-things-considered":{"id":"all-things-considered","title":"All Things Considered","info":"Every weekday, \u003cem>All Things Considered\u003c/em> hosts Robert Siegel, Audie Cornish, Ari Shapiro, and Kelly McEvers present the program's trademark mix of news, interviews, commentaries, reviews, and offbeat features. 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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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On Our Watch brings listeners into the rooms where officers are questioned and witnesses are interrogated to find out who this system is really protecting. Is it the officers, or the public they've sworn to serve?","imageSrc":"https://cdn.kqed.org/wp-content/uploads/2024/04/On-Our-Watch-Podcast-Tile-703x703-1.jpg","imageAlt":"On Our Watch from NPR and KQED","officialWebsiteLink":"/podcasts/onourwatch","meta":{"site":"news","source":"kqed","order":"1"},"link":"/podcasts/onourwatch","subscribe":{"apple":"https://podcasts.apple.com/podcast/id1567098962","google":"https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5ucHIub3JnLzUxMDM2MC9wb2RjYXN0LnhtbD9zYz1nb29nbGVwb2RjYXN0cw","npr":"https://rpb3r.app.goo.gl/onourwatch","spotify":"https://open.spotify.com/show/0OLWoyizopu6tY1XiuX70x","tuneIn":"https://tunein.com/radio/On-Our-Watch-p1436229/","stitcher":"https://www.stitcher.com/show/on-our-watch","rss":"https://feeds.npr.org/510360/podcast.xml"}},"on-the-media":{"id":"on-the-media","title":"On The Media","info":"Our weekly podcast explores how the media 'sausage' is made, casts an incisive eye on fluctuations in the marketplace of ideas, and examines threats to the freedom of information and expression in America and abroad. 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