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The study, which is slated to be published in The Journal of Personality and Social Psychologydrew plenty of skepticism. What their technology can recognize is a pattern that found a small subset of out, white gay and lesbian people on dating sites who look similar. Kosinski asserted in an interview with Quartz that regardless of the methods of his paper, his research was in service of gay and lesbian people that he sees under siege in modern society.
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But its power — and the dangers it poses — are becoming increasingly evident. A new, controversial algorithm from data scientists at Stanford University, which can accurately distinguish whether a person is gay or straight by analyzing a photo of their race, is underscoring that point. They discuss their algorithm in a new study, which has not yet been published but has been accepted for publication in the Journal of Personality and Social Psychology. A free preprint of the paper is currently available.
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Advancements in artificial intelligence can be extremely worrying, especially when there are some pretty serious intimate and privacy issues at stake. A study from Stanford University, first reported in the Economisthas raised a controversy after claiming AI can deduce whether people are gay or straight by analysing images of a gay person and a straight person side by side. LGBTQ advocacy groups and privacy organisations have slammed the report as "junk science" and called it "dangerous and flawed" because of a clear lack of representation, racial bias and reducing the sexuality spectrum to a binary.