Binar Kurnia Prahani Elly Matul Imah Irena Yolanita Maureen Lusia Rakhmawati Hanandita Veda Saphira,Copyright: CC BY-NC-ND 4.0
I thought it might be of general interest to post my Spring 2024 syllabus for my AI & Law class. I regret that many of the hyperlinks to the assigned readings won’t work because they are to internal copies I made, which I can’t share directly for copyright reasons, but I’ve provided citations so it should be easy to find them online. Links to the optional readings generally should work.
I’d welcome comments on overall organization, and also on what I should cut — there’s a lot I wish I could have added — and what I should add for next year.
Here are the contents:
- Class 1: Intro
- Class 2: Intro to Machine Learning
- Class 3: Intro to Foundation Models and Generative AI
- Class 4: Issues in AI System Design & Application
- Class 5: Issues in AI Personhood
- Class 6: LLMs (1)
- Class 7: LLMs (2)
- Class 8: LLMs (3)
- Class 9: Explainable AI (XAI)
- Class 10: AI & Algorithmic Justice (I)
- Class 11: AI & Algorithmic Justice (II)
- Class 12: AI & IP (1) — Model Training & Copyright
- Class 13: AI & IP (2) — Model Usage
- Class 14: AI in Administration
- Class 15: AI & Privacy
- Class 16: AI & Lawyering (Part I: Law School & Legal Analysis)
- Class 17: AI & Lawyering (Part 2: Litigation, Judging, Practice)
- Class 18: AI & Medicine
- Class 19: AI & the Markets
- Class 20: Ethics Issues
- Class 21: Governance of AI (General Issues)
- Class 22: Governance of AI (EU)
- Class 23: Governance of AI (U.S.)
- Class 24: AI Governance (China)
- Class 25: AI and Our Future :>
- Class 26: AI and Our Future :<
