The AI Ground Rules Framework Every Educator Should Steal
What if the answer to AI in the classroom was never "ban it" or "allow it," but something more specific?
A Harvard professor just made news for encouraging students to use AI on every assignment. ChatGPT, Perplexity, Gemini, all of them. The catch? Students must draft their own arguments before AI touches anything. AI serves as critic and editor. Never as author.
This is the kind of framework that actually moves the needle because it is specific, enforceable, and preserves the thinking that education is supposed to build. Ninety two percent of students already use AI. The institutions still debating whether to allow it are debating a question that was answered two years ago.
The real question is: do your students know how to think BEFORE they prompt?
Read the full breakdown and grab the three step framework for your own classroom: https://www.harvestkernel.com/harvard-ai-ground-rules-classroom/
What ground rules have you set for AI in your courses or workplace? I want to hear what is actually working. Not the policy document, the real practice.
I did this on an online discussion assignment recently. I had my students use AI as a "skeptical teammate" who argued against the student's initial view and then students had to defend their argument. It seemed to work well.
The "skeptical teammate" framing is brilliant because it puts the student in the driver's seat. They can't lean on AI for the answer if AI is actively pushing back on their answer. That's exactly the kind of structure that preserves critical thinking while still letting students interact with the tool.
I'm curious how the quality of their defenses compared to assignments where they didn't have that AI pushback. Did you notice them sharpening their arguments more than usual?