Gabriel Nicholas, a member of the Product Public Policy team at Anthropic, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to introduce the policy problems (and some solutions) posed by AI agents. Defined as AI tools capable of autonomously completing tasks on your behalf, it’s widely expected that AI agents will soon become ubiquitous. The integration of AI agents into sensitive tasks presents a slew of technical, social, economic, and political questions. Gabriel walks through the weighty questions that labs are thinking through as AI agents finally become “a thing.”
Kevin Frazier is a Senior Fellow at the Abundance Institute, Director of the AI Innovation and Law Program at the University of Texas School of Law, a Senior Editor at Lawfare, and a Adjunct Research Fellow at the Cato Institute.
Gabriel Nicholas is a member of the Product Public Policy team at Anthropic.
More Articles
-
Proceedings of the 2025 Workshop on Law-Following AI
A report from the inaugural Workshop on Law-Following AI to catalyze further scholarship on its design, evaluation, and governance -
Scaling Laws, Rapid Response: An "FDA for AI" at the White House?, with Dean Ball
-
Mythos Fallout, U.S. Government Weighs AI Model Regulation
The latest edition of the Seriously Risky Business cybersecurity newsletter, now on Lawfare.
