A shared space for thinking out loud about AI in teaching, research, policy, and academic practice. Colleagues comparing notes, trying things, and learning together. AI is not a temporary disruption we can simply wait out, so this is a place to make some ideas a bit less ephemeral as we experiment.
Students will need to know how to work with AI, but not as a substitute for their own thinking. The more useful goal is to help them use these tools to extend their curiosity and creativity while staying alert to the borrowed, uneven, and sometimes misleading expertise AI seems to offer.
There is no shortage of AI advice. What is harder to find is something local — people who share disciplinary habits, students, classrooms, campus culture. This collection of sketches tries to build a community of practice.
Nothing here pretends to be the "right" answer. The sketches are rough, the experiments are ongoing, and there's a wide spectrum of ideas. Your mileage will vary. The common thread is a shared interest in helping students become conscious learners and thoughtful shapers of future AI use.
AI does not belong to any one campus unit or discipline. Libraries, teaching centers, academic technology, writing programs, social scientists, humanists, STEM fields, professional schools, departments, and students all see different parts of the problem.
Tried something with AI? Hit a wall and broke through? Learned something you didn’t expect? Found something you’ll never do again?
We hope you’ll share your experience! If you have an idea, email us your thoughts and we’ll help start getting it in sketch form.
If you want to submit a sketch directly–great! The contribute page walks through the details–and they sound more complicated than they actually are. Try it!