Much like his earlier work, Kosinski’s findings raised questions about privacy and the potential for discrimination in the digital age, suggesting scenarios in which better programs and data sets might be able to deduce anything from political leanings to criminality. At first, he tried covering up or exaggerating parts of faces, trying to see how those changes would affect the machine’s predictions. So he had the computer spit out the 100 faces it deemed most likely to be gay or straight and averaged the proportions of each. Read more here…

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