Insights
Perspectives on AI governance, curriculum intelligence, academic integrity, and the evolving role of faculty.
14 articles
The phrase gets used a lot. Most explanations stop at "faculty set the rules." That's not wrong, but it leaves out the part that actually matters.
Kelly Wen
6 min read
The worry that AI destroys academic integrity is understandable but imprecise. Unstructured AI use creates integrity risks. Structured AI use, governed by faculty, creates a different set of conditions entirely.
Kelly Wen
6 min read
ChatGPT was not built for universities. It was built to be useful to everyone, which means it was built to be optimized for no one in particular — and that design choice has real consequences in academic settings.
David Laszczkowski
5 min read
When calculators became cheap and common, universities didn't ban arithmetic — they redesigned what they were trying to teach. The same logic applies now, and the institutions that understand that will be better positioned.
David Laszczkowski
5 min read
Most students who are confused at 11pm on a Tuesday don't have a good option. Office hours ended six hours ago. The TA is also studying. The textbook already didn't help. This is a solvable problem.
Kelly Wen
5 min read
The concept sounds straightforward — AI that knows your course materials. The implementation involves a series of choices that determine whether the result is actually useful or just a fancier version of the same problem.
David Laszczkowski
6 min read
The obvious risks get discussed. The subtler ones — the ones that compound quietly over a semester — are harder to see and do more lasting damage to actual learning.
Kelly Wen
6 min read
Understanding how to work with AI — not just use it, but understand its limits, evaluate its outputs, and apply it appropriately — is quickly becoming table stakes for professional competence in most fields.
David Laszczkowski
6 min read
Right now, most universities' AI strategy is "allow students to use whatever they find." That's not a strategy. It's an absence of one — and the costs of that absence are accumulating.
David Laszczkowski
6 min read
The people who understand pedagogy, disciplinary standards, and what students actually need to learn are being excluded from the decisions that will shape how AI operates in their classrooms.
Kelly Wen
5 min read
Most university AI policies were drafted in a hurry, by people who were primarily thinking about risk. A policy that starts with what you're trying to accomplish educationally produces something more useful.
Kelly Wen
6 min read
The replacement fear keeps coming up, and it keeps distracting from the more interesting question: what can AI do that creates space for professors to do the things only professors can do?
David Laszczkowski
5 min read
Access to one-on-one tutoring has always been one of the most powerful predictors of learning outcomes. It's also always been unevenly distributed. AI changes both of those facts simultaneously.
Kelly Wen
6 min read
The AI-native university isn't one where AI has been added to existing processes. It's one where the learning environment was designed from the start with AI as a component — and the two are quite different.
David Laszczkowski
6 min read
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