Synthetic human faces are so convincing they can fool even trained observers, and they may be highly effective for use in scams
, or GANs, can learn to create fake images that are less and less distinguishable from real images, by pitting two neural networks against each other.at the University of California, Berkeley, asked 315 participants, recruited on a crowdsourcing website, to say whether they could distinguish a selection of 400 fake photos from 400 photographs of real people. Each set consisted of 100 people from each of four ethnic groups: white, Black, East Asian and South Asian.
White faces were the hardest for people to distinguish between real and fake, perhaps because the synthesis software was trained on disproportionally more white faces.
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