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Researchers have developed training methods that significantly improve people's ability to detect AI-generated deepfake images of faces. The study involved teaching participants to identify subtle perceptual traits such as asymmetry, proportions, attractiveness, distinctiveness, expressiveness, and memorability in faces, which AI often struggles to reproduce accurately. After training, participants increased their accuracy from about 40% to 80%, with some approaching perfect scores. This research aims to combat the rising threat of deepfake scams and political misinformation by enhancing human detection skills.
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