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AI gaydar can accurately determine sexuality from a photo
Publié: septembre 8, 2017, 10:38am CEST par Mark Wycislik-Wilson
Facial detection technology is usually used to identify individuals for the purposes of crime prevention, or as a biometric security method. But a paper published by Stanford University -- entitled simply "Deep neural networks are more accurate than humans at detecting sexual orientation from facial images" -- shows that it could also be used to determine people's sexuality. Using AI and deep neural networks, algorithms have been shown to have a far better gaydar than people. Working with a sample of more than 35,000 photographs, the system was able to correctly determine whether individuals were gay or straight with staggering… [Continue Reading]