Law, AI & Big Data
Course Description
This course will track the development of AI and Big Data methodologies in law and legal reasoning. On that backdrop, we will consider how AI and Big Data can solve and cause legal problems, and how best to regulate in this area. The course will engage in an interdisciplinary, pluralist approach to these issues.
Current and Previous Instructors
Key to Codes in Course Descriptions
P: Prerequisite
C: Prerequisite or Concurrent Requirement
R: Recommended Prior or Concurrent Course
Currently Scheduled Sections
CRN: 93538
- Fall '26
- 3
-
Tues: 10:55-12:55
Day
-
Guha Krishnamurthi
- 0 openings. (Limit 14).
May satisfy Advanced Writing Requirement
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578T
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Arvind Narayanan (Author), Sayash Kapoor (Author) , AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference , Princeton University Press , 2024
ISBN: 978-0691249131
Eliezer Yudkowsky (Author), Nate Soares (Author) , If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All , Little Brown , 2025
ISBN: 978-0316595643
Cathy O'Neil (Author) , Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy , Crown , 2016
ISBN: 978-0553418811