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AI Syllabus Policy Resources
Sample Policies from Other Universities
The resources below include sample syllabus language, assignment-specific policies, and tools to help you develop your own AI policy. This collection represents some of the best available from universities across the country.
Lance Eaton’s Crowdsourced AI Syllabus Policies
The go-to resource with 140+ policies from faculty across disciplines. You can sort by field, institution type, and policy approach.
University Policy Collections
Stanford University — Teaching Commons
Detailed guidance with sample sentences and rationales for different policy approaches.
University of Texas at Austin — Center for Teaching & Learning
Sample statements organized by instructor intent: prohibit, allow with attribution, or encourage.
University of Maryland — TLTC
Clean examples across the spectrum from prohibited to fully allowed.
Duke University — Center for Teaching and Learning
Policies with instructor rationales explaining the “why” behind different approaches.
Johns Hopkins University — Teaching@JHU
Real syllabus statements from JHU faculty across disciplines.
Georgetown University — CNDLS
Includes assignment-specific policy examples and faculty statements by discipline.
University of Kentucky — CELT
Examples organized by degree of AI integration, plus an AI use scale for assignments.
Kent State University — Center for Teaching and Learning
Practical examples plus tips for communicating your policy to students.
Georgia State University — CETLOE
Includes the AI Assessment Scale for assignment-level policies.
Tools for Creating Your Own Policy
Washington and Lee University — AI Syllabus Statement Generator
An interactive tool that walks you through decisions and generates customized language for your syllabus.
Assignment-Specific Examples
Northern Illinois University — CITL
Examples specifying when AI is and isn’t permitted for specific activities within a course.
Elon University — Center for Writing Excellence
Three complete AI policies for English courses with detailed assignment-level guidance.
Compiled by the Faculty Development for Student Success Center
Questions? Contact us at jsucus@jsums.edu or extension 6951
