Ethical principles only change what organisations do when they are backed by rules, oversight and consequences. AI regulation is the attempt to write those rules: what systems should be banned or restricted, what companies must disclose or test, and who is held responsible when something goes wrong. Governments have not agreed on the answer, and the debate often turns on how to protect people without holding back useful innovation.
The lessons begin with a short explainer on the EU AI Act, the first comprehensive AI law, which sorts systems by level of risk. Legal scholar Anu Bradford then compares the three main models of technology regulation: the market-driven approach of the United States, the rights-driven approach of the European Union and the state-driven approach of China. The final lesson is a webinar on the fast-changing US picture, where federal and state governments are still working out who regulates what.
AI laws and proposals change quickly, and the dates and details in older videos may be out of date, so check official sources for the current position. Watch the lessons in order, then continue on to Responsible AI in Practice.
A short explainer on the EU AI Act, which sorts AI systems into four risk levels with different rules for each, and on the debate about its effect on innovation. Published in 2024.
Video 5minColumbia Law professor Anu Bradford compares the American market-driven, Chinese state-driven and European rights-driven models of regulating technology, and how they compete worldwide. A CSIS book talk.
Video 42minA June 2026 law-firm webinar on recent US developments and how organisations are adapting their governance and compliance. Aimed at practitioners, so an optional watch.
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