AI, Platforms & Data

AI Regulation: Competition, Arbitrage & Regulatory Capture

This course explores the geopolitical and strategic dimensions of artificial intelligence regulation, with a special focus on the rise of Large Language Models (LLMs) following the launch of ChatGPT. Rather than simply analyzing regulatory proposals, the course investigates how countries and companies use regulation as a tool of power and international influence. Through historical examples and comparative analysis, we examine the trade-offs between regulatory arbitrage and fragmentation, the challenges to international harmonization, and the strategic behavior of public and private actors in the global race for AI leadership.

Introductory11 lessons1 questions

What is covered

  1. 1Meet the author
  2. 2Session 1 - Introduction
  3. 3Session 2 - A Local Game of Regulatory Choices
  4. 4Session 3 - A Global, Multiplayer Scenario: Corporate Capture and Strategic Behavior
  5. 5Session 4 - Applying this Framework to AI Regulation
  6. 6Session 5 - A Shifting Landscape for Foundational AI Models: From Computing Power to Data
  7. 7Session 6 - Connecting the Technical Dynamics with the Policy Game
  8. 8Session 7 - Conclusion
  9. 9Read Paper
  10. 10We would love your feedback!1 question

Prepared by

Filippo Lancieri

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