A study by CSIRO and SKKU found that none of the 16 leading deepfake detectors tested could consistently detect real-world deepfakes.
Deepfake detection tools are facing major weaknesses, making it easier for AI-generated fake images, videos, and audio to spread false information.
Current detectors fail due to limited scope and specific types of fake content they can effectively detect, emphasizing the need for more advanced strategies.
Researchers suggest using multi-method detection systems, including fingerprinting techniques and larger, more diverse datasets, to improve deepfake detection.