252.2S sec. 001 - Antitrust and Emerging Technologies (Summer 2025)
Instructor: Talha Syed (view instructor's teaching evaluations - degree students only | profile)
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Units: 3
Grading Designation: Graded
Mode of Instruction: In-Person
Meeting:
MTuWThF 10:10 AM - 12:45 PM
Location: Law 244
From June 30, 2025
To July 21, 2025
Enrollment info:
Enrolled: 0
Waitlisted: 0
Enroll Limit: 35
As of: 12/03 11:14 AM
This course addresses a vital question of law and policy today: how competition and related laws (such as intellectual property) do and should apply to the digital economy’s emerging business models, practices, and technologies--principally big data, LLMs, and generative AI. Roughly two-thirds of the course will take up the application of American antitrust law to both the giants of the digital economy (Google, Meta/Facebook, Amazon, Apple) and emerging data- and AI-based business models, with the remaining third devoted to analysis of intellectual property laws as applied to data and AI-based processes and outputs.
Professor Talha Syed’s research focuses on law and political economy, with applications to intellectual property, property, torts, antitrust, and theories of distributive justice. He has a forthcoming book, Pharmaceutical Innovation Policy—From Patents to Public Utility, and is working on a series of articles on the legal and social theory of “law and political economy,” as well as the intersection of antitrust and IP. At Berkeley Law, he teaches Torts, Intellectual Property Law, Antitrust, and the Law and Technology Writing Workshop.
Exam Notes: (TH) Take-home examination
(Subject to change by faculty member only through the first two weeks of instruction)
Course Category: AI Law and Regulation
This course is listed in the following sub-categories:
Business Law
Intellectual Property and Technology Law
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