Cross-Border Regulation of Artificial Intelligence: Current Frameworks and Future Governance Models

1 credits · Law School

As regulators around the world race to get their arms around AI, lawyers who understand the technological underpinnings, use cases, and range of AI governance models will be in high demand. Lawyers must be able to thoughtfully respond to the most important technology of the 21st Century. This course will build a working knowledge of AI and dive deep into the legal challenges posed by AI from issues of human rights to privacy and cybersecurity law to the IP issues surrounding generative AI, antitrust, and more. From there, we will examine the emerging legal frameworks that have been proposed to govern AI with a particular focus on the EU AI Act, which exhibits extraterritorial effects and sets the global gold standard of AI regulation, as well as proposed frameworks in the US, China, and other jurisdictions. Through a mix of presentations, discussions, and guest speakers, the course will offer students a robust understanding of the most critical legal and governance frameworks currently under development in the US and other jurisdictions. In addition to gaining a substantive understanding of major hard and soft law efforts internationally, students will learn to identify structural normative patterns and dynamics shared across a diverse set of AI legal and regulatory efforts. Most importantly, this course seeks to empower law students with a foundational understanding of AI and its various implications across different industries and areas of law. As a result, students will enter practice as AI savvy lawyers, ready to contribute bespoke risk assessment and management strategies to their clients and organizations. Students who have taken LAW 7361 may not enroll in this course. Enrollment limited. [1]