Researchdeepfakesvideo forensicshuman in the loop
Study Shows AI Beats Humans On Deepfake Images
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Psychologist Natalie Ebner and colleagues report January 7 in Cognitive Research that AI systems outperform humans at detecting deepfake images, while humans outperform algorithms on short deepfake videos. In tests with about 2,200 participants and two classifiers on 200 faces, algorithms reached about 97% and 79% accuracy; in a 70-video test with ~1,900 participants humans averaged 63% versus algorithmic chance.
Scoring Rationale
Peer-reviewed evidence shows mixed human–AI performance, but findings are limited to specific datasets and short videos.
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