Kevin A. Bryan Proposes Eight Rules for Teaching in the AI Era
Afinetheorem · x · 2026-08-25
Professor Kevin A. Bryan outlines how AI should reshape university teaching in "Eight Rules for Teaching in AI World":
- Decide What Should Be Learned Without AI: Distinguish between fundamental human skills (e.g., manual matrix inversion as a proxy for understanding) and tasks where only the output quality matters.
- Teach Better Than the Pre-AI Status Quo: Acknowledge that slacking and cheating existed pre-AI (e.g., Chegg usage stats); AI is an opportunity to improve, not give up.
- Maintain Grading: Incentives matter; grading systems need adaptation, not removal.
- Eliminate Cheatable Assignments: e.g., basic French translation papers are obsolete due to perfect AI translation.
- Leverage AI for Personalized, High-Standards Evaluation: Use tools like All Day TA for real-time assessment and use insights to improve teaching.
The article argues that while AI breaks the traditional link between performance and knowledge, proactive adjustments to curriculum and expectations can make education more effective than ever.
Related event: Eight Rules for AI-Era University Teaching(2 posts)→
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