David Laszczkowski
Co-Founder, EdPilot
The policy debate inside most universities is still about whether to allow AI. Students resolved that question on their own a couple of years ago.
Walk into any college library on a Sunday night and ask students what tools they're using to study. You'll hear about flashcard apps, YouTube lectures, tutoring services — and somewhere in there, usually said with a slight hedge, you'll hear about ChatGPT or Claude or Gemini.
The policy debate inside most universities is still about whether to allow AI. Students resolved that question on their own a couple of years ago.
That gap — between where students actually are and where institutional policy sits — is the problem worth solving. Not because students are doing something wrong. But because the AI they're using has absolutely no idea what their professor taught last Tuesday.
It's worth being specific, because the fear-driven version of this conversation tends to imagine students submitting AI-generated essays wholesale. That happens. But it's not the dominant pattern.
More commonly, students use AI to unstick themselves at 11pm when the textbook isn't making sense, to get a second explanation of something covered in lecture, to generate practice questions before an exam, to check their understanding of a concept before committing it to an assignment.
These are legitimate study behaviors. The problem is the tool they're using for them has no idea what's in the syllabus, has never read the lecture slides, and will cheerfully explain a concept in a way that directly contradicts how the professor framed it three days ago.
Institutions that have tried prohibition-first approaches have largely discovered the same thing: it doesn't stop usage, it just hides it. Students who were using AI to study still use it. They just stop mentioning it, and the interactions move entirely outside institutional visibility.
There's also a subtler problem. Blanket bans don't distinguish between using AI to avoid thinking and using AI to think better. A student who asks an AI to explain the same concept three different ways until it clicks is doing something academically valuable. A ban treats both behaviors the same.
The more honest question isn't "how do we stop students from using AI?" It's "what kind of AI experience do we want students to have?"
The institutions that will handle this well aren't the ones with the most restrictive policies. They're the ones that create a sanctioned, faculty-governed AI environment that students actually prefer to use because it's better at helping them learn their specific course material.
When AI is grounded in course materials — the actual syllabus, readings, and lecture content — it stops being a wild card and becomes an extension of what the professor teaches. Students get accurate, course-aligned explanations. Faculty can see how students are engaging. The institution has visibility it currently lacks entirely.
The tools exist. The question is whether universities will build the infrastructure to use them well, or continue debating a policy question that students have already moved past.