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. As sophisticated fake images and videos, known as deepfakes, continue to improve and spread widely online, distinguishing real from AI imagery becomes more important.