The new framework identifies visual patterns within fake video frames that were unintentionally introduced by AI video generators, providing a forensic path to identifying the systems that created the videos. The new framework is called SAGA — short for Source Attribution of Generative AI Videos. The innovation comes as generative AI systems are rapidly improving and synthetic videos are increasingly being used in entertainment, advertising, education, social media, and politics. Different AI video generators produce subtle patterns in those changes, creating distinctive artifacts. The researchers tested SAGA using public datasets containing videos generated by 19 different AI video generators.