Law & Policy

Here's a question for you:

AI Law and Policy course.

What topics would you cover?

What topics seem relevant now, but might not be by the time I teach it in the Fall?

A comprehensive course on AI Law and Policy should include:

- Basics of model training and inference

- Why chips are so important and how US controls them (via De Minimis U.S. Content (§ 734.4) and Foreign Direct Product Rule as applied to chips and AI models), what was The AI Diffusion Rule and why it was rescinded recently

- Which data could or could not be used for training (privacy, etc.)

- Fair use in the context of model training (NYT v. OpenAI, Thomson Reuters v. ROSS Intelligence)

- Basics of The EU AI Act as an example of the first comprehensive regulation (perhaps not the best regulation, though)

- Why certain AI startups want to use non-profits or public benefit companies and how things can go wrong (OpenAI board saga as a case study)

- Whether and how lawyers, doctors and other regulated professions should use AI (ABA Formal Opinion 512 on GenAI)

Just some ideas. The list can go on.

building skala.io, partner at buzko.legal

This is a really good list. Sharing with the dean of WashU law who is looking to expand their teachings in this area.