The Legal Maze of AI Liability: Anat Lior on Bridging Law and Emerging Tech

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Scaling Laws

Lawfare & University of Texas Law School

181 episodes

6 days ago

Scaling Laws explores (and occasionally answers) the questions that keep OpenAI’s policy team up at night, the ones that motivate legislators to host hearings on AI and draft new AI bills, and the ones that are top of mind for tech-savvy law and policy students. Co-hosts Alan Rozenshtein, Professor at Minnesota Law and Research Director at Lawfare, and Kevin Frazier, AI Innovation and Law Fellow at the University of Texas and Senior Editor at Lawfare, dive into the intersection of AI, innovation policy, and the law through regular interviews with the folks deep in the weeds of developing, regulating, and adopting AI. They also provide regular rapid-response analysis of breaking AI governance news.

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All content for Scaling Laws is the property of Lawfare & University of Texas Law School and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.

Hosted on Acast. See acast.com/privacy for more information.

The Legal Maze of AI Liability: Anat Lior on Bridging Law and Emerging Tech

Scaling Laws

46 minutes 41 seconds

3 months ago

The Legal Maze of AI Liability: Anat Lior on Bridging Law and Emerging Tech

In this episode, we talk about the intricate world of AI liability through the lens of agency law. Join us as Anat Lior explores the compelling case for using agency law to address the legal challenges posed by AI agents. Discover how analogies, such as principal-agent relationships, can help navigate the complexities of AI liability, and why it's crucial to ensure that someone is held accountable when AI systems cause harm. Tune in for a thought-provoking discussion on the future of AI governance and the evolving landscape of legal responsibility.

Hosted on Acast. See acast.com/privacy for more information.