Course 3 · Module 4
Governance and Regulation
This module covers who is trying to govern AI and how: governments with different models, companies with voluntary commitments, and international bodies with declarations and reports. You'll be able to compare the main regulatory approaches, judge what company commitments are worth and what their critics say, and explain why international agreement is hard. The module describes and compares; it doesn't say what the rules should be.
Module objectives
- Compare the main regulatory approaches to AI and the case for and against each.
- Evaluate what company safety commitments promise, how they are checked, and where critics say they fall short.
- Explain the obstacles to international coordination on AI, including security competition and military use.
Lessons
- Lesson 1 Governance: Regulatory models: the European Union, the United States, and China You'll compare three ways governments are regulating AI: one comprehensive risk-based law, a contest between federal and state authority, and state-led rules aimed at content and… 61111h 3m
- Lesson 2 Governance: Company self-governance and its critics You'll look at the safety commitments AI companies have made, how anyone checks them, and two opposite criticisms: that they're too weak, and that safety talk protects large firms… 61111h 3m
- Lesson 3 Governance: International coordination, security, and military use You'll look at attempts to coordinate AI governance across countries and at why they stall, including competition over chips and disagreement about weapons. You'll be able to… 611111h 33m