September 7, 2017 7:47 PM Subscribe
A classifier could correctly distinguish between gay and heterosexual men in 81% of cases, and in 74% of cases for women. Human judges achieved much lower accuracy: 61% for men and 54% for women. The accuracy of the algorithm increased to 91% and 83%, respectively, given five facial images per person.
This post was deleted for the following reason: There's the core of a discussible idea here, but the sort of glib, brief mainstream news article just sets up too many unwarranted assumptions for people to get any traction -- restless_nomad
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