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Welcome to Fairfax Underground, a project site designed to improve communication among residents of Fairfax County, VA. Feel free to post anything Northern Virginia residents would find interesting.
Welcome to Fairfax Underground, a project site designed to improve communication among residents of Fairfax County, VA. Feel free to post anything Northern Virginia residents would find interesting.
New AI can guess whether you're gay or straight from a photograph
Posted by:
Fag Mouth
()
Date: September 07, 2017 10:48PM
New AI can guess 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
Thursday 7 September 2017 19.46 EDT First published on Thursday 7 September 2017 18.52 EDT
Artificial intelligence can accurately guess whether people are gay or straight based on photos of their faces, according to new research suggesting that machines can have significantly better “gaydar” than humans.
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 machine intelligence tested in the research, which was published in the Journal of Personality and Social Psychology and first reported in the Economist, was based on a sample of more than 35,000 facial images that men and women publicly posted on a US dating website. The researchers, Michal Kosinski and Yilun Wang, extracted features from the images using “deep neural networks”, meaning a sophisticated mathematical system that learns to analyze visuals based on a large dataset.
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.
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.
An algorithm deduced the sexuality of people on a dating site with up to 91% accuracy, raising tricky ethical questions
Thursday 7 September 2017 19.46 EDT First published on Thursday 7 September 2017 18.52 EDT
Artificial intelligence can accurately guess whether people are gay or straight based on photos of their faces, according to new research suggesting that machines can have significantly better “gaydar” than humans.
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 machine intelligence tested in the research, which was published in the Journal of Personality and Social Psychology and first reported in the Economist, was based on a sample of more than 35,000 facial images that men and women publicly posted on a US dating website. The researchers, Michal Kosinski and Yilun Wang, extracted features from the images using “deep neural networks”, meaning a sophisticated mathematical system that learns to analyze visuals based on a large dataset.
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.
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.
Re: New AI can guess whether you're gay or straight from a photograph
Posted by:
E4NTX
()
Date: September 08, 2017 03:59PM
I can tell, too.
Re: New AI can guess whether you're gay or straight from a photograph
Posted by:
hehehe
()
Date: September 08, 2017 10:07PM
why did you photoshop the bbc out of his mouth ?
Re: New AI can guess whether you're gay or straight from a photograph
Posted by:
Butt Boy
()
Date: September 08, 2017 10:19PM
Re: New AI can guess whether you're gay or straight from a photograph
Posted by:
Two-fer
()
Date: September 08, 2017 10:22PM
Re: New AI can guess whether you're gay or straight from a photograph
Posted by:
Gerry the Paki
()
Date: September 08, 2017 10:43PM
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