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An MIT Report Warns AI Is Causing ‘Cognitive Surrender.’ Universities Are in a Bind.
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By The New York Times
Published 3 minutes ago on
September 15, 2026

Participants in an AI summer camp at California Polytechnic State in San Luis Obispo, Calif., July 28, 2025. Across American universities, the hodgepodge of policies created to respond to artificial intelligence reflects substantial confusion about how to proceed — with some clear dos and don’ts, but often a lot of wiggle room for faculty and students to figure it out on their own. (Philip Cheung/The New York Times)

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The worries that artificial intelligence is degrading education have been building for months. Students are using it for everything, including cheating, and a recent report out of the Massachusetts Institute of Technology said it is triggering “cognitive surrender.”

Many university leaders are embracing AI with enthusiasm anyway.

As AI leaders warn about the dangers of their own technology, the dissonance between the optimism of university leaders and the fears of many students and professors may increase. Professors and students are often in a bind about what they should do: Use more AI to stay relevant, or dial back to preserve learning and thinking?

While some politicians and AI leaders are warning about possible doomsday scenarios for humanity as AI models advance, many campus leaders are focused on the existential threat the technology poses to universities.

The committee at MIT studying AI use released a number of alarming findings, including that the technology has caused “major shifts in campus culture,” isolating students who are skipping office hours and ditching communal studying. Getting answers from a bot can create “the illusion of learning” for students who reach for AI “at the first hint of struggle,” the MIT committee wrote in its August report.

At the same time, “the potential of these technologies to augment work across campus is immense,” the committee wrote.

The MIT report crystallized some of the thinking in higher education about AI, but top administrators have been embroiled in debates for several years. Administrators have often been the most eager to champion AI efforts, while many faculty and students remain more skeptical.

“I think you have to lean in, but you have to do so in a way that’s thoughtful and ethical and asks the right questions,” said Wendy Hensel, the president of the University of Hawaii, where she presented an AI strategy to regents in July. “The right answer to AI is not just ‘no.’ It can’t be. It has to be approached with curiosity and understanding of the implications.”

The hodgepodge of policies universities have created to respond to AI often reflect the confusion about how to proceed — with some clear do’s and don’ts, but often a lot of wiggle room for faculty and students to figure it out on their own.

Experts Warn That AI Harms Learning

For a motivated student, an AI chatbot can function as a sort of tutor. Chatbots can break down the steps in a math problem, surface unexpected sources for research papers and offer feedback on writing.

Still, a growing body of research suggests that AI use can also harm learning.

But AI can be hard to avoid. Chatbots are embedded within the Google Classroom suite, which is nearly ubiquitous in schools, and within many online learning systems used by universities.

Some tools block outright cheating or plagiarism and allow professors to toggle specific AI capabilities on and off. But the most popular chatbots among students will instantly complete entire assignments, including research papers, on a student’s behalf.

Many Universities Are Embracing AI Anyway

Sian Leah Beilock, the president of Dartmouth College, has argued that preparing graduates to use AI is an existential requirement of institutions of higher education.

“In a world that promises to be defined by AI, universities that fail to produce graduates who can use it productively will consign themselves to irrelevance,” she wrote recently.

Harvard University President Alan Garber said in public remarks this month that AI-backed research is on the cusp of a boom that may drive the pace of knowledge faster than at any other time in human history. Garber has said that researchers in many fields are now unlikely to be at the leading edge of their disciplines without AI.

Ohio State is integrating AI into every major, with the expectation that every student will be fluent in their field of study by graduation. The university has directed every department and major — from business and engineering, to English and veterinary medicine — to train students on how to use AI in their respective fields, and when not to.

Still, Some Schools Are Creating Boundaries

The University of Chicago has banned AI in certain required social sciences courses, while the university’s law school banned phones, tablets and laptops in first-year classrooms. The university is one of a handful that recently adopted new academic integrity rules.

The law school at the University of California, Berkeley, adopted a policy forbidding the use of AI “to conceptualize, outline, draft, revise and edit” work submitted for credit.

Cornell University has created a disciplinary process meant to correct AI cheating while avoiding black marks on students’ records. Now, students accused of minor misuse will be allowed to accept responsibility and complete a workshop and some reflective work.

Policing AI Use Is Hit or Miss

Students are often navigating this landscape without clear guidance from their colleges.

Most institutions leave it up to individual instructors — who may have little experience with AI — to set rules on how the technology is used in each class.

It may seem clear that submitting chatbot-generated text is cheating, while using a chatbot to revise one’s own writing is allowed. But the line between those two capabilities is thin, and much AI use lies in an ethical gray zone.

“It’s almost like sex ed,” said Anita Sarma, a professor of computer science at Oregon State who has studied the impact of AI on student cognition. “They will do it anyway,” she said. “How do we teach them responsible use?”

This article originally appeared in The New York Times.

By Mark Arsenault, Dana Goldstein, Alan Blinder and Sarah Mervosh/Philip Cheung
c. 2026 The New York Times Company

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