Generative AI Syllabus Statement Examples

The rapid growth in the availability and capabilities of generative AI tools has significantly impacted the landscape of higher education, creating both new opportunities and important questions for teaching and learning. We recognize the potential these tools hold for supporting creativity, productivity, and innovation in academic work, while also acknowledging the pedagogical, ethical, and integrity-related challenges they introduce.

As faculty explore how generative AI may (or may not) fit within their courses, it is essential to establish clarity, responsibility, and care for student learning. We recognize that instructors will approach generative AI from different perspectives, shaped by disciplinary norms, prior experience, and their comfort with emerging technologies. There is no single “right” approach— only intentional ones grounded in pedagogical purpose and transparency.

Including a syllabus statement that communicates your course-level policy on the use of generative AI can help to set clear expectations, reduce confusion, and support shared understanding between instructors and students. The examples below (grouped by permission level) include a range of approaches and sample language developed and shared by colleagues across the university, reflecting diverse disciplinary contexts, teaching philosophies, and classroom goals. These samples are intended to be used, adapted, or combined to support your own course design and instructional priorities— and to serve as a starting point in helping you create a statement that reflects your own teaching goals and course context.

Please also see the Guidelines for Generative AI Statements in Course Syllabi.