Lectures

Each lecture page carries its summary and the full required and supplementary reading list. Reading lists are subject to change and may be updated up until two weeks before the lecture.

Course Introduction

1 Introduction: Methodological Approaches & Competing Visions of the AI Transition Wed, Sep 23

Technical Foundations

2 Technical Foundations & Lessons from the History of Governing Frontier Technology Mon, Sep 28

3 The Problem of AI Agents & Multi-Agent Dynamics Wed, Sep 30

4 AI Evaluations Mon, Oct 5

Individual Risks

5 Bias, Discrimination, and Fairness Wed, Oct 7

6 AI, Copyright, Creativity & Privacy Mon, Oct 12

Societal Risk

7 AI Harms: Defamation & Mental Health Wed, Oct 14

8 AI & Democracy Mon, Oct 19

9 AI Infrastructure & the Environment Wed, Oct 21

10 Existential Risks & Benefits, AGI, Autonomous R&D, CBRN Mon, Oct 26

National & International Approaches to AI Governance

11 EU Law and Policy Wed, Oct 28

12 Federal & State-Level US Law and Policy Mon, Nov 2

13 Rest of the World Approaches to AI Governance Wed, Nov 4

14 Geopolitics and Global AI Governance Mon, Nov 9

The AI Economy

15 The AI Economy: Competition, Open Models, & Antitrust Wed, Nov 11

16 The AI Economy: The Future of Labor Mon, Nov 16

Living with AI

17 What Does It Mean to Be Human in an AI Age? Wed, Nov 18

18 TBD Mon, Nov 30

Outlook

19 The Future of AI Governance Wed, Dec 2