On my campus, discussions about artificial intelligence tend to focus on how students should be allowed to use it and what tools the university should invest in. In my own work, I’ve seen both the promise and the pitfalls: AI that speeds up my coding, tidies my writing, and helps me synthesize complex documents, and the occasional student submission that is clearly machine-generated. As I’ve started integrating these tools into my work, I’ve begun asking a different question: How is AI reshaping policymaking in colleges and universities, and how might it influence the way we design, implement and analyze university policy in the future?
