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AI Can Tell if You're Gay: Artificial Intelligence Predicts Sexuality from One Photo with Startling Accuracy
Key Excerpts from Article on Website of Newsweek


Newsweek, September 8, 2017
Posted: September 11th, 2017
http://www.newsweek.com/ai-can-tell-if-youre-gay-artificial-...

Two Stanford University researchers have reported startling accuracy in predicting sexual orientation using computer technology. Dr. Michal Kosinski and Yilun Wang, whose research will be published by the Journal of Personality and Social Psychology, say that AI can distinguish between the face of a heterosexual man and a homosexual man in 81 percent of cases. For women, the predictive accuracy is 71 percent. The average human is less adept at identifying between straight and gay people purely based on an image: We are only able to guess correctly in 61 percent of cases for men and 54 percent for women. When scientists presented the algorithm with five facial images of a single person, the accuracy increased to 91 percent for men and 83 percent for women. Kosinski and Wang used deep neural networks to sample 35,326 facial images of men and women taken from a dating website. The findings advance discussion about the biological factors that may determine ones sexual orientation. However, Kosinski tells The Economist, the research is not intended to be used to profile or out homosexual men and women. Rather, it is designed to demonstrate - or even warn - that technological advances can be used for such means and could pose a threat to our privacy, given that digital information is so easily accessible. The researchers argue the digitalization of our lives and rapid progress in AI continues to erode the privacy of sexual orientation and other intimate traits.

Note: Emerging artificial intelligence technologies are currently being developed for use in warfare. According to a United Nations report, misuse of these technologies may threaten human rights. For more along these lines, see concise summaries of deeply revealing privacy news articles from reliable major media sources.


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