Controversial study scientifically supports notion of ‘gayface’


Gay rights groups have come out against a controversial study that found that sexual orientation can be read from people’s faces.

The implications for personal privacy are obvious regarding research by Stanford’s Yilun Wang and Michal Kosinski. The study used an artificial intelligence facial recognition algorithm and more than 35,000 pictures of men and women in a dating site who’d identified themselves as gay or straight.

The AI model correctly distinguished between gay and straight men 81% of the time, and gay and straight women with 71% accuracy. In short, the study scientifically supports the notion of gayface.

The study’s co-authors said they were “really disturbed” by their findings, “given that companies and governments are increasingly using computer vision algorithms to detect people’s intimate traits, our findings expose a threat to the privacy and safety of gay men and women.”

Full story at NY Daily News.