NEWNOWNEXT - Sep 9 - Stanford University researchers Yilun Wang and Michal Kosinski developed artificial intelligence software that used deep neural networks to extract features from 35k faces, and then classified them by sexual orientation. The program correctly distinguished between gay and straight men in 81% of cases, and between lesbians and straight women 71% of the time. Human judges, meanwhile, only got it right 61% of the time for men and 54% for women. "Gay men and women tended to have gender-atypical facial morphology, expression, and grooming styles," according to a paper Wang and Kosinski are publishing in The Journal of Personality and Social Psychology.
by Trish Bendix
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Summarized by the Courtland Brooks team
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