
DarkStar
ᛟhEReditarianᛟ
★★★★★
- Joined
- Nov 20, 2022
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New AI can work out whether you're gay or straight from a photograph
An algorithm deduced the sexuality of people on a dating site with up to 91% accuracy, raising tricky ethical questions
The study from Stanford University – which found that a computer algorithm could correctly distinguish between gay and straight men 81% of the time, and 74% for women – has raised questions about the biological origins of sexual orientation, the ethics of facial-detection technology, and the potential for this kind of software to violate people’s privacy or be abused for anti-LGBT purposes.
The research found that gay men and women tended to have “gender-atypical” features, expressions and “grooming styles”, essentially meaning gay men appeared more feminine and vice versa. The data also identified certain trends, including that gay men had narrower jaws, longer noses and larger foreheads than straight men, and that gay women had larger jaws and smaller foreheads compared to straight women.
Honestly, I love how a lot of the blackpill correlates & is proven through that of modern science. I mean heck, according to this study we can infer that AI in fact, is even more blackpilled than humans & seemingly better understands physiognomy than the people it impacts most.Human judges performed much worse than the algorithm, accurately identifying orientation only 61% of the time for men and 54% for women. When the software reviewed five images per person, it was even more successful – 91% of the time with men and 83% with women. Broadly, that means “faces contain much more information about sexual orientation than can be perceived and interpreted by the human brain”, the authors wrote.
I love how this proves various beliefs we have, such as the fact that Fwhr correlates with test levels, and it does indeed seem to imply here that men with lower levels of it are more likely to be fags.
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