Intensive Course: Contemporary Issues in AI Regulation

JD Course Code: LAW792H1S
Grad Course Code: LAW7026H

Description

Note: The add/drop date for this course is Monday, January 5 at 10:00 PM.

Course Location: Please see the "Intensive Course Schedule" under Schedules and Timetables (http://www.law.utoronto.ca/academic-programs/schedules).

Note: Attendance at intensive courses is mandatory for the duration of the course.  

The regulation of AI is a complex and emerging area. It consists of both a changing set of technologies with characteristics that can be difficult to reason about and understand, and an emerging set of practices. These include sui generis AI law, data and privacy law, digital markets law, intermediary regulation, product law and IP law. The issues are complicated by complex value chains of algorithmic systems, with multiple components made by many different actors, or many systems’ nature as dual-use or general-purpose tools which can be used for both benign and malicious ends. In this course, you'll be exposed to both the technical underpinnings of contemporary artificial intelligence, a range of different regimes, and how they combine, clash or illuminate the technology. We'll be looking across jurisdictions, and thinking about ways to holistically understand the sector rather than looking at it through a single lens or a single type of governance regime. The course will draw both on law and computer science literature, but no background in computer science is required.

Evaluation

Students will be evaluated based on a final paper of 2500 to 3000 words. Papers must be delivered to the Records Office by 4:00 p.m. on February 2, 2026.

At a Glance

  • Academic Year:
    2025-2026
  • Course Session:
    Intensives: Winter Session
  • Credits:
    1
  • Hours:
    12
  • Course Note:

    Monday, January 6, 2026: 11:00 am - 1:30 pm
    Tuesday, January 7, 2026: 11:00 am - 1:30 pm
    Wednesday, January 8, 2026: 11:00 am - 1:30 pm
    Thursday, January 9, 2026: 10:00 am - 12:30 pm (please note the timing difference)
    Friday, January 10, 2026: 11:00 am - 1:00 pm

Enrollment

  • Maximum Enrollment:
    22
  • JD Students:
    20
  • LLM/SJD/MSL/SJD U: 2