SemaFor Content Assessment
SemaFor aims to better protect the public from rapidly evolving media generation threats by researching best methodologies and analytics for detecting media provenance.
The pace of advancement in media generation and manipulation technologies is staggering. Consequently, purely statistical detection methods are no longer adequate for identifying falsified media. Detection techniques that rely on statistical fingerprints can often be deceived with minimal additional resources (e.g., algorithm development, data, or computing).
How You Can Help
Participate in Research Challenges
The Research Challenges are a series of publicly available challenges related to generative AI capabilities. These challenges help in our efforts to produce safe, secure, and trustworthy AI systems.
Go To Research ChallengesCheck out our Analytic Catalog
The Analytic Catalog is a collection of open source resources developed as part of SemaFor for use by researchers and industry.
Go To Analytic Catalog