Artificial Intelligence Law and Policy

This course will examine the rise of artificial intelligence (AI) in several domains, and how regulators, legislators, and courts in are addressing it. We will begin with an overview of the types of methods and technologies encompassed by the generic term "AI" (including expert systems, big data, predictive analytics and machine learning), and will compare computational and legal thinking. To develop the concept of "computational thinking," distinctions between algorithmic and non-algorithmic thought will be explored. Since AI is based on data, we will next examine data protection laws. To address public sector concerns, we will explore the virtues and limits of government use of AI, in areas ranging from benefits adjudication to criminal sentencing. Finance will provide a private sector case study, with particular attention to the law and political economy of automated transactions and creditworthiness determinations. The course will also examine liability and reimbursement for autonomous vehicles and health care AI, ranging from advanced clinical decision support to mental health apps to robotic caregivers. Public procurement and reimbursement issues will also be examined. No prior knowledge of computer science or data science is required for the course. Grading and Method of Evaluation: Grading will be based on a class presentation and 48-hour take home examination.