Researchers at the U.K.'s Lancaster University and the University of California, Berkeley found that people have a hard time distinguishing images of human faces created by artificial intelligence from images of real faces.
The researchers asked a group of 315 people to distinguish a selection of 400 fake photos from 400 photos of real people; they were accurate less than half (48.2%) of the time (a second group trained to recognize computer-generated faces did slightly better, with an accuracy rate of 59%).
The researchers found that white faces were hardest for participants to distinguish, possibly due to the software being trained on disproportionally more white faces.
From New Scientist
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