Summary

Professor Cary Coglianese, Edward B. Shils Professor of Law and founding Director of the Penn Program on Regulation, joins the podcast. As one of the world's leading experts on regulatory models, Cary provides a masterclass in management-based oversight.

Cary argues that the "guardrail" analogy is failing and proposes the "leash" as a more accurate framework for AI. The episode covers the heterogeneity of AI use cases and the future of legal practice in an automated world.

You can listen on Spotify or Apple Music or watch the episode here on YouTube.

Key takeaways

• Why management-based regulation is more effective than prescriptive rules for AI.

• The "Leash vs. Guardrail" analogy: A new mental model for AI governance.

• Contrasting the "Big Three" regulatory approaches: US, EU, and China.

• Handling the extreme heterogeneity of AI applications across different sectors.

• How the next generation of lawyers must adapt to an algorithmic legal landscape.