In 2020, Executive Order 13960 established a requirement for federal agencies to publish an annual inventory of their artificial intelligence use cases. However, this data is often difficult to access or search through, especially across different agencies. This website intends to make these files more accessible to the general public.
The initial data gets published by each individual agency on their own website. The Office of the Federal Chief Information Officer then consolidates the information into a single file. As of February 13, 2025, this consolidated file has not yet been published. In the meantime, Kevin Schaul, a journalist at the Washington Post, has created a consolidated file, which we use to populate the data on this site. The consolidated file can be found on GitHub.
Contact us by email: team (at) govaifiles.org
Sorelle Friedler is the Shibulal Family Professor of Computer Science at Haverford College, a Nonresident Senior Fellow at The Brookings Institution, and the Chair of ACM's U.S. Technology Policy Committee. She previously served as Assistant Director for Data and Democracy in the White House Office of Science and Technology Policy where she co-authored the AI Bill of Rights and contributed to federal policy on AI. Her research focuses on how AI impacts society, and she is a Co-Founder of the ACM Conference on Fairness, Accountability, and Transparency (FAccT).
Danaé Metaxa is Raj and Neera Singh Term Assistant Professor at the University of Pennsylvania with joint appointments in Computer and Information Science and the Annenberg School for Communication, where they co-founded the Penn HCI group. Their research focuses on bias and representation in algorithmic systems across high-stakes domains including politics, employment, and advertising, with particular attention to impacts on marginalized communities.
Emma Lurie is a postdoctoral researcher at the University of Pennsylvania and incoming assistant professor at Barnard College with a J.D. from Stanford Law School and Ph.D. in Information Science from UC Berkeley, specializing in public interest technology at the intersections of platforms, democracy, and law. She conducts audits of AI systems and combines legal analysis with algorithm auditing to address how technology platforms can better serve democratic societies while protecting civil liberties.
Emma Fauser is an undergraduate student at Haverford College pursuing computer science and urban studies. Her interests broadly lie in the applied use of computing for social problems. She is also a founding employee at Modrinth, an indie startup supporting Minecraft content creators.