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Rearchers have created an AI that is more accurate than humans termg whether a person is gay or straight jt om a handful of photographs. It reli on cu apparently more subtle than most n perceive — cu many would suggt do not exist. The rearch monstrat, as is tend to, a class of threat to privacy that is entirely unique to the era of ubiquo puter visn.

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Image source, Stanford UniversyImage ptn, The study created pose fac judged most and least likely to belong to homosexualsA facial regnn experiment that claims to be able to distguish between gay and heterosexual people has sparked a row between s creators and two leadg LGBT rights Stanford Universy study claims s software regnis facial featur relatg to sexual orientatn that are not perceived by human work has been acced of beg "dangero" and "junk science" the scientists volved say the are "knee-jerk" reactns. Details of the peer-reviewed project are due to be published the Journal of Personaly and Social jawsFor their study, the rearchers traed an algorhm g the photos of more than 14, 000 whe Amerins taken om a datg ed between one and five of each person's pictur and took people's sexualy as self-reported on the datg rearchers said the rultg software appeared to be able to distguish between gay and heterosexual men and women.

THE FAMO AI GAYDAR STUDY WAS REPEATED – AND, NO, N'T TELL IF YOU'RE STRAIGHT OR NOT JT OM YOUR FACE

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In one tt, when the algorhm was prented wh two photos where one picture was fely of a gay man and the other heterosexual, was able to terme which was which 81% of the women, the figure was 71%. "Gay fac tend to be genr atypil, " the rearchers said. "Gay men had narrower jaws and longer nos, while lbians had larger jaws.

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"But their software did not perform as well other suatns, cludg a tt which was given photos of 70 gay men and 930 heterosexual asked to pick 100 men "most likely to be gay" missed 23 of s summary of the study, the Enomist - which was first to report the rearch - poted to several "limatns" cludg a ncentratn on whe Amerins and the e of datg se pictur, which were "likely to be particularly revealg of sexual orientatn". "This rearch isn't science or news, but 's a scriptn of bety standards on datg s that ignor huge segments of the LGBTQ (lbian, gay, bisexual, transgenr and queer/qutng) muny, cludg people of lour, transgenr people, olr dividuals, and other LGBTQ people who don't want to post photos on datg s, " said Jim Halloran, chief digal officer of Glaad, a media-monorg body. "The reckls fdgs uld serve as a weapon to harm both heterosexuals who are accurately outed, as well as gay and lbian people who are suatns where g out is dangero.

"The 'subtle' differenc uld be a nsequence of gay and straight people choosg to portray themselv systematilly different ways, rather than differenc facial appearance self, " said Prof Benedict Jon, who ns the Face Rearch Lab at the Universy of was also important, he said, for the technil tails of the analysis algorhm to be published to see if they stood up to rmed cricism. Unsurprisgly, that origal work kicked up a massive fs at the time, wh many skeptil that puters, which have zero knowledge or unrstandg of somethg as plex as sexualy, uld really predict whether someone was gay or straight om their fizzog.

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The Stanford eggheads behd that first rearch – Yilun Wang, a graduate stunt, and Michal Kosski, an associate profsor – even claimed that not only uld nral works ss out a person’s sexual orientatn, algorhms had an even better gaydar than humans. Notably, straight women were more likely to wear eye shadow than gay women Wang and Kosski’s dataset. Straight men were more likely to wear glass than gay men.

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