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The world-class research mission and the undergraduate teaching mission have always been in tension. The prestige economy that rewards publications over pedagogy always distorted faculty incentives. The credentialing function was always only loosely connected to the educational one. In a post-AI world, these divergences are being rendered untenable…So how should the university respond to this crisis of purpose, identity, and even faith? The most popular present answer in certain administrative circles to this question is… on residential life and human connection as the university’s irreducible value in an age of AI tutors. -- Nils Gilman, a Senior Advisor to the Berggruen Institute and former Associate Chancellor of UC Berkeley, in Persuasion on Substack

There are few public affairs or civic issues more important than how we’re educating our kids as a society in the age of AI. Large language models are here to stay and, if used properly, can be a boon to student’s critical thinking and social skills.

The idea of simple knowledge transfer is among the positive roles of AI. So the university lecture, where a PhD professor walks through a textbook to (some) note-taking students who are actually present in physical seats, is becoming a relic.  

Instead, as Gilman argues in his piece, AI makes the case for a return to the seminar-style, live human dialogue (not monologue), problem solving and simulation. The more ancient ways of the academy, if you will. More like a monastery, as one writer noted, with low-tech introspection.

Face-to-face encounters that build trust, mold values, demand critical thinking, make a persuasive argument, set goals, solve problems, cultivate originality in thought and personality.

It’s these activities —which AI can’t do —that parents and students should be paying for. 

A university brings all kinds of young people together into one physical place. It should take advantage of its unique value proposition as a fertile, non-digital garden that preps young people for the workplace; that builds “cognitive endurance;” that shows students how to problem solve with each other in community; and reinforces that humanity is the master of tech tools like AI.

Not the other way around.