AI and Undergraduate Education

What is going well and what is going poorly in undergraduate education amid students’ and professors’ access to ChatGPT and other LLMs (Large Language Models)? As a result, what might law professors expect of their students in the years to come?

Recent headlines tell very different stories:

“AI is Destroying the University and Learning Itself,” in Current Affairs, by Ronald Purser (San Francisco State University).

“I’m a Professor. A.I. Has Changed My Classroom, but Not for the Worse,” in the New York Times Magazine, by Carlo Rotello (Boston College).

About the Author

Michael Madison

Michael Madison is Professor of Law at the University of Pittsburgh School of Law in Pittsburgh, Pennsylvania, USA. He is a Senior Scholar with the University of Pittsburgh Institute for Cyber Law, Policy, and Security (Pitt Cyber). At Pitt Law, he is Faculty Director of the Future Law Project and a John E. Murray Faculty Scholar. Professor Madison is a co-Principal Investigator of the Workshop on Governing Knowledge Commons global research collaborative and a series editor of the Cambridge University Press Studies in Governing Knowledge Commons series. He is a founder and leader of Future Law Works, a corps of volunteer leaders focused on the futures of legal education and other institutions of the legal system; of the “Ethics and Economics of Expertise” (E3) workshop at the University of Pittsburgh, a periodic conversation directed to the future of higher education; and of “PASTA,” the “Pitt AI Scholar Teacher Alliance,” a working group. From time to time, he publishes Your Leadership Podcast and a newsletter titled “Everything in Between,” about institutions and governance.