Prerequisites: None

Exam Type: No Exam

Grading will be based 50% on class participation and 50% on 4 short thought papers submitted and presented orally over the course of the semester.

This course will examine the law and policies that govern data practices, the use of or access to personal information, artificial intelligence, and sensitive information technologies. General topics will cover the philosophy, public policy and regulation of privacy, data protection, international data transfers, AI, behavioral and location tracking, profiling, microtargeting, algorithmic accountability, automated decision-making, and online disinformation. Discussion will focus on the tensions, tradeoffs, and cost-benefit impacts of regulating digital technology (“TechReg”). The class will examine TechReg conflicts that implicate free speech, economic innovation, national security, law enforcement, civil and human rights, politics, and business interests. Comparisons among US, UK, and EU approaches will be addressed. Students will be expected to participate extensively in class, and to follow significant current developments in the field. Occasional guest speakers may be invited.

Readings will include statutes, regulations, judicial decisions, enforcement actions, government reports and policy documents, as well as scholarly, philosophical, practical articles, and news stories. Current AI, privacy, data protection, and information technology developments will be discussed regularly.