Tech Roundup Episode 24 - DOGEing Barriers? Legal Challenges to AI in Government
Artificial Intelligence has been rapidly brought to the forefront of the public conversation in recent months. President Trump has pledged to support AI innovation, while the newly-established Department of Government Efficiency (DOGE) has been working to streamline government processes through AI.
Join our panel of experts, including Dhruva Krishna, Dr. Megan Ma, and Kevin Fraizer, for a discussion on the benefits and legal ramifications of incorporating AI into government.
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As always, the Federalist Society takes no position on particular legal or public policy issues; all expressions of opinion are those of the speaker.
AI Innovation and Law Fellow, University of Texas School of Law
Kevin Frazier is anĀ AI Innovation and Law Fellow with University of Texas School of Law.
Associate Attorney - Investment Funds, Kirkland & Ellis LLP
Dhruva Krishna is an investment funds associate in the Los Angeles office of Kirkland & Ellis LLP. Dhruva's practice largely focuses on the formation, structuring, marketing, management and regulatory compliance of investment funds, including operational, legal and regulatory issues, with various sponsors ranging up to $15 billion. He also assists with related fund documentation and processes, including transfers, secondaries, co-investments and more. As an avid musician and writer, Dhruva is especially interested in the intersection of technology, regulation and innovation.
Research Fellow and Assistant Director, Stanford Program in Law, Science, and Technology and the Stanford Center for Legal Informatics (CodeX)
Dr. Megan Ma is a Research Fellow and the Associate Director of the Stanford Program in Law, Science, and Technology and the Stanford Center for Legal Informatics (CodeX). Her research focuses on the use and integration of generative AI in legal applications and the translation of legal knowledge to code, considering their implications in contexts of human-machine collaboration. She also teaches courses in computational law and insurance tech at the Law School.
Dr. Ma is also currently an Advisor to the PearX for AI program, Editor-in-Chief for the Cambridge Forum on AI, Law, and Governance, and the Managing Editor of the MIT Computational Law Report and a Research Affiliate at Singapore Management University in their Centre for Computational Law. Megan received her PhD in Law at Sciences Po and was a lecturer there, having taught courses in Artificial Intelligence and Legal Reasoning, Legal Semantics, and Public Health Law and Policy. She has previously been a Visiting PhD at the University of Cambridge and Harvard Law School respectively.