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Hubbard: “AI’s Superpower Is Educational Kryptonite”

TaxProf Blog has covered the University of Chicago Law School’s well-designed laptop ban that took effect for fall 2026. There’s a follow-up: the faculty chair of the university’s AI and Academic Life Committee has released more on the institution’s empirically informed pedagogical rationale—especially in light of the university’s June 2026 partnership with Anthropic that brought Claude to all faculty, staff, and students.

Three pillars in the law school’s approach: “AI is a powerful tool that lets you take shortcuts”; teaching and learning “with AI, without AI, and about AI”; and the guiding principle that AI “should help students devote more effort and attention, not less, to their work.” Although this final item appears in a paragraph about how AI use in education “is the opposite of how it should be used in the typical professional context,” the same goal—deep engagement with AI work product, rather than mere acceptance—applies to both contexts (and other empirical work supports this intuition).

Links and excerpts, below the fold.

William H.J. Hubbard, We Gave Our Students the Latest AI Tools—and Then Banned AI and Laptops in Our First-Year Classrooms. Why? (Oct. 12, 2026):

[I]n an educational setting, AI’s superpower is educational kryptonite. . . .

What does this mean for university education, and law school education in particular? The answer is simple: no shortcuts. Foundational abilities, like reading critically, forming arguments, and expressing yourself through writing, must be developed in an environment where AI is not used to take shortcuts. Sometimes, it is best to teach without AI. . . .

Now, let’s be clear: Does this mean universities should run away from AI? No. It means that universities can teach with AI when AI enhances students’ interest, engagement, and sense of challenge in confronting material. . . .

[I]t’s no contradiction that our Law School is going without AI in some contexts, like first-year classrooms, even as we give our students powerful tools to think critically and ambitiously with AI and about AI.

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