S. The Law of Artificial Intelligence

This interdisciplinary seminar equips students to navigate AI's legal and policy challenges through technical literacy. Students will learn how neural networks, transformers, GPUs, and large language models actually work—covering training processes, agents, and system architectures—then apply that knowledge to pressing legal issues: algorithmic bias and discrimination, liability for autonomous decision-making, data and intellectual property rights, due process concerns, and national security implications. By pairing accessible technical tutorials with legal doctrine and policy analysis, the course will enable students to develop a fluency in how AI's technical particulars shape fundamental questions of duty of care, ownership, human rights, and regulatory design. Students will leave prepared to analyze emerging AI cases and policy debates with both legal rigor and technical grounding.