AI systems are far better than people at spotting deepfake images, but when it comes to deepfake videos, humans may still have the edge. That’s the surprising twist from a new study that pits people against machines in the race to detect digital forgeries. The results suggest humans and machines will need to work together to identify and combat deepfakes going forward, psychologist Natalie Ebner and colleagues report January 7 in Cognitive Research: Principles and Implications.
Deepfakes are AI-generated images, audio and videos that can falsely represent what a person looks like, says or does and have already been used to commit financial fraud, influence elections and ruin reputations.