This AI has a "gaydar", and it should be stopped

A new computer algorithm, developed by researchers at Stanford University, can correctly determine someone's sexuality with up to 91% accuracy just by analysing a photo of their face. It's the robotic equivalent of a "gaydar" and it's sure to stir up a minefield of discussion, but first, a few caveats. The study used 35,326 photos from a US dating site and the artificial intelligence only distinguished sexuality between two photos (always one straight, one homosexual) of people of the same gender – the study did not include transgender or bisexual people. The photos used were portraits of faces, so the AI's judgments are made based on a "faceprint" determined from things like eyebrows, cheeks, hairline, neckline and nose, rather than clothing or hairstyle. Among men the system was accurate 81% of the time, and with women it was 71% accurate, but when given repeated photos of the same man (and so, more data) the accuracy increased to 91%.