AI, Law & Society: As Taught by AI
This course offers the first structured classroom experience in which an AI system serves as a formal co-instructor. Across five live sessions, students will engage directly with an AI system that presents arguments, analyzes readings, moderates discussion, and responds to questions. The same AI system will support pre-class preparation and discussions as well. Students will learn first-hand about the opportunities and limitations of AI systems as pedagogical tools. Co-taught by adjunct professor Oliver Roberts, the substantive course content will include analysis and discussions on copyright and training data, state and federal regulation of AI, the use of AI in courts and legal practice, the environmental impact of large-scale computing and data centers, and the challenges posed by deepfakes, misinformation, and synthetic media. The course combines human judgment and machine reasoning to examine the most significant legal and societal questions arising from artificial intelligence.
Prerequisites & course information
Credit 1 unit. Typical periods offered: Spring
Sources
- Course catalogue โ2026โ2027