276.14 sec. 001 - The Law and Governance of Artificial Intelligence (Fall 2025)
Instructor: Colleen Chien (view instructor's teaching evaluations - degree students only)
View all teaching evaluations for this course - degree students only
Units: 3
Grading Designation: Graded
Mode of Instruction: In-Person
Meeting:
W 10:00 AM - 12:40 PM
Location: Law 100
From August 20, 2025
To November 19, 2025
Course End: November 19, 2025
Class Number: 32501
Enrollment info:
Enrolled: 0
Waitlisted: 0
Enroll Limit: 65
As of: 04/04 07:13 AM
Artificial intelligence technologies including generative and large language models, neural networks, and robotics are augmenting and replacing humans in a growing number of human endeavors including content creation, driving, policing, and waging war. In this course, students will gain fluency with AI technologies and examine the ways in which law and policy are being developed and applied to minimize the harms (e.g. in the form of bias, privacy-, inequality, and security-related harms) and maximize the benefits (e.g. in the form of reduced costs, greater access, and greater personalization) offered by AI. Examining a variety of laws and governance tools, including court adjudication, legislation, regulatory frameworks, industry standards, and best practices, this course will dive deeply into the intersections of AI and human rights, civil liberties, privacy, intellectual property, consumer protection, employment, and other laws. The class will draw upon materials co-curated by lawyers advising firms on AI matters. In addition, we will use simulations and exercises to hone skills of analysis, expression, and substantive knowledge. One focus of the class will be on how AI is transforming the practice of law, and the opportunities offered by technologies of automation and artificial intelligence to ameliorate or exacerbate existing inequalities in the practice of law, including the access to justice gap.
Attendance at the first class is mandatory for all currently enrolled and waitlisted students; any currently enrolled or waitlisted students who are not present on the first day of class (without prior permission of the instructor) will be dropped. The instructor will continue to take attendance throughout the add/drop period and anyone who moves off the waitlist into the class must continue to attend or have prior permission of the instructor in order not to be dropped.
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Requirements Satisfaction:
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Exam Notes: (F) In-class Final Exam
(Subject to change by faculty member only through the first two weeks of instruction)
Exam Length: 3 hours
Course Category: Intellectual Property and Technology Law
This course is listed in the following sub-categories:
Public Law and Policy
Race and Law
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