Examples of AI Syllabus Policies

The following recent, well-regarded resources provide practical guidance for incorporating artificial intelligence into teaching and learning. All are freely available to the public.

• Artificial Intelligence Teaching Guide
  Publication: Stanford Teaching Commons, 2023–present
  This modular guide for higher-education instructors covers AI literacy, classroom applications, potential risks, course policies, and assignment design. Each module includes activities that can be completed independently or incorporated into faculty development.
• Generative AI for Teaching & Learning
  Publication: MIT Sloan Teaching & Learning Technologies
  This practical resource collection addresses prompting, AI-supported surveys, course design, privacy, academic integrity, and AI-resilient learning experiences. It is especially useful for instructors seeking strategies they can apply directly in their courses.
• Generative Artificial Intelligence
  Publication: Cornell University Center for Teaching Innovation
  Cornell provides research-informed guidance on AI literacy, accessibility, ethics, academic integrity, course policies, and assignment design. The resource considers both productive ways to integrate AI and methods for preventing students from outsourcing essential learning.
• AI Pedagogy Project
  Publication: metaLAB at Harvard University, 2023–present
  This open collection includes classroom assignments, tutorials, policy examples, and introductory materials. Its activities encourage students to examine AI’s capabilities, limitations, biases, ethical implications, and effects on authorship and learning.
• Assigning AI: Seven Approaches for Students, with Prompts
  Publication: Ethan Mollick and Lilach Mollick, Wharton School, 2023
  This resource presents seven possible classroom roles for AI: tutor, coach, mentor, teammate, tool, simulator, and student. It includes adaptable prompts while emphasizing critical evaluation, student responsibility, and the importance of keeping the learner actively involved.
• Assessment Reform for the Age of Artificial Intelligence
  Publication: Tertiary Education Quality and Standards Agency, 2023
  This expert-developed framework explores how higher-education assessment can be redesigned in response to generative AI. It focuses on protecting meaningful learning while recognizing that students need opportunities to develop responsible and effective AI skills.
• Guidance for Generative AI in Education and Research
  Publication: UNESCO, 2023
  UNESCO offers a human-centered framework for adopting generative AI in education. The guidance addresses privacy, equity, ethical concerns, institutional policy, and the need to preserve human agency and intellectual development.
• Enacting Assessment Reform in a Time of Artificial Intelligence
  Publication: Tertiary Education Quality and Standards Agency, 2025
  This practical follow-up to the 2023 assessment framework provides examples of how institutions and instructors are putting assessment reform into practice. It addresses the risks AI poses to learning assurance while helping students learn to use AI responsibly and ethically.