Maschinen erkennen Deepfake-Bilder besser als Menschen, aber Menschen sind der KI bei der Erkennung von Deepfake-Videos überlegen. Menschen schienen subtile Inkonsistenzen in Bewegung, Mimik und Timing zu erkennen – Hinweise, die die Algorithmen nur schwer interpretieren konnten.

Machines spot deepfake pictures better than humans, but people outperform AI in detecting deepfake videos

Artificial intelligence may be better than people at spotting fake faces in photos — but humans still have the upper hand when those fakes start moving.

In a large recent study, psychologists and computer scientists at the University of Florida found that AI programs were up to 97% accurate at detecting pictures of deepfake faces. Participants in the study performed no better than chance.

However, the algorithms’ performance declined sharply when it came to detecting deepfake videos. In those tests, programs performed at chance levels, while humans correctly identified real and fake videos about two-thirds of the time. Human participants appeared to pick up on subtle inconsistencies in movement, facial expressions and timing — cues the algorithms struggled to interpret.

For those interested, here’s the link to the peer reviewed journal article:

https://link.springer.com/article/10.1186/s41235-025-00700-y