Regulation

The introduction of Muse, Meta's new 24/7 AI assistant, carries significant implications for users' autonomy and data privacy.

States should treat spyware governance as a top-tier political priority and work toward a binding, enforceable regulatory framework.

Tech company leaders' warnings about the dangers of AI demand urgent international legal efforts to regulate artificial intelligence.

If tech leaders are serious about oversight to curtail AI risk, they will need to endow evaluators with independence, information, money, and clout to enforce decisions.

As the U.S. and China compete on AI, concepts such as export controls can no longer determine who leads in that or across a range of other emerging technology.

Neither banning Chinese advanced AI models nor ignoring their risks to national security will serve American interests.

This syllabus supplement offers curated articles intended to be combined with traditional casebooks in a law or higher ed classroom.

A proposed bill would help ensure that antitrust law does not deter legitimate collaboration on mitigating AI security risks.

All highly capable AI models should be regulated through pre-deployment and ongoing testing. But any safety regime that works for domestic models should work for Chinese ones.

Members of the Senate are taking steps to regulate and restrict how the Department of Defense develops and uses AI in its operations.

With risk-based personnel vetting practices, U.S. AI labs can keep recruiting the world’s best researchers while safeguarding national security.

The U.S. shift away from a rules-based export regime amid a race for AI leadership is causing India to hedge against a heavy reliance on American technology.