Researchers have developed a new tool that can identify fake videos by tracing them back to the AI system that made them, using distinct visual “fingerprints” that these generative models leave behind. The new framework is called SAGA — short for Source Attribution of Generative AI Videos. Different AI video generators produce subtle patterns in those changes, creating distinctive artifacts. These signatures visualize the unique patterns associated with different video generators. In a recent paper, the team tested SAGA on public datasets containing videos created by 19 different AI video generators.