LAW-2720 Emerging AI Regulatory Frameworks
As advanced Artificial Intelligence ("AI") systems become mainstream, governments, business and society at large are moving quickly to take advantage of AI’s power, productivity and innovation benefits. Yet AI’s extraordinary potential must be considered alongside the risks associated with the ubiquitous deployment of these systems, including the novel legal and policy concerns that they raise. What factors should be assessed and mitigated when developing and deploying AI systems? Who owns the knowledge derived from the business-proprietary and personal information used to train and fine-tune these systems? What limitations should be placed on the use of this information by AI system developers and deployers? And what rights and protections should individuals have in the face of algorithmic decision-making that affects them in significant ways? This course will: (1) review the types of advanced AI systems currently being commercialized; (2) examine the main legal and policy concerns that are coming to the fore as these systems proliferate; and (3) survey the key, pioneering AI legal and regulatory frameworks that are being implemented in the U.S. and the European Union.
It is recommended, but not required, that students be familiar with basic data privacy law concepts before taking this course. Course requirements: (1) active class participation, (2) short mid-term paper, and (3) final exam.