Generative AI Syllabus Guide

Playlist Sections

  • Developing your Course-Level AI Policy
  • Example Syllabus Statements on AI

This playlist provides educators with resources to establish clear and intentional course guidance around AI use. It brings together two key collections that offers guidance on MSU policies, ethical considerations, strategies for communicating expectations, and adaptable language for a range of instructional approaches. Together, these resources help instructors thoughtfully shape how generative AI is addressed in their syllabi and classrooms.

Developing your Course-Level AI Policy

This playlist equips MSU educators with resources for developing clear and intentional approaches to generative AI in their courses. It includes guidance on MSU-specific policies and permitted uses, examples of syllabi language for both implementing and not implementing AI, and strategies for communicating course-level expectations to students. Beyond syllabus statements, the collection also explores broader scholarly and ethical considerations, helping instructors thoughtfully integrate or intentionally exclude AI while fostering clarity, integrity, and trust in the classroom.

Example Syllabus Statements for the Use of AI Tools in Your Course

There is no “one size fits all policy” for AI uses in higher education. Much like attendance/participation policies, GenAI course-level rules and statements will be determined by individual instructors, departments, and programs. The following resource is provided to assist you in developing coherent policies on the use of generative AI tools in your course, within MSU’s guideline. Please adjust these examples to fit your particular context. Remember communication of your course generative AI policies should not only be listed in your syllabus, but also explicitly included  in assignment descriptions where AI use is allowed or disallowed. 

It is your responsibility as instructor to note and explain your individual course-level rule. A conversation with your department is highly recommended so that generative AI use in the classroom reflects broader use in the unit and  discipline.