The new dataset aims to include a very diverse sample of AI-generated material from different generators to boost detectors’ applicability in real-world settings. Postiglione says that fake videos, audio, and images online have often undergone post-processing procedures, such as resizing, cropping, and compressing. People may also intentionally manipulate content to make it harder to detect.