276.14 sec. 001 - The Law and Governance of Artificial Intelligence (Fall 2024)
Instructor: Colleen Chien
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Units: 3
Grading Designation: Graded
Mode of Instruction: In-Person
Meeting:
TuTh 11:20 AM - 12:35 PM
Location: Law 170
From August 20, 2024
To November 21, 2024
Course End: November 21, 2024
Class Number: 32567
Enrollment info:
Enrolled: 31
Waitlisted: 1
Enroll Limit: 60
As of: 05/02 04:48 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 las 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 course materials co-curated by lawyers advising firms on AI matters, as well as simulations and exercises that will be used to hone skills of analysis and expression as well as build 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.
Exam Notes: (F) In-class final exam
Exam Length: 3 hours
Course Category: Intellectual Property and Technology Law
This course is listed in the following sub-categories:
Public Law and Policy
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Readers:
A reader will be used in this class.
Books:
Instructor has indicated that no books will be assigned.