DiscoverStanford Computational AntitrustEpisode 32: Cary Coglianese on the Use of AI in Public Enforcement
Episode 32: Cary Coglianese on the Use of AI in Public Enforcement

Episode 32: Cary Coglianese on the Use of AI in Public Enforcement

Update: 2025-03-12
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In episode 32, Thibault Schrepel and Teodora Groza speak with Cary Coglianese, Edward B. Shils Professor of Law and Professor of Political Science at the University of Pennsylvania Law School. They talk about Cary's research on the use of AI in public enforcement. Subscribe to our newsletter at https://law.stanford.edu/computationalantitrust for regular updateson the Stanford Computational Antitrust project.

References:

- Leashes, Not Guardrails: A Management-Based Approach to Artificial Intelligence Risk Regulation https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5137081

- Antitrust by Algorithm https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3985553

- Regulating Multifunctionality https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5059426

- From Negative to Positive Algorithm Rights https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4225887

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Episode 32: Cary Coglianese on the Use of AI in Public Enforcement

Episode 32: Cary Coglianese on the Use of AI in Public Enforcement

Thibault Schrepel