Generative AI & Higher Ed: Instructor Resources

The resources below are intended to help instructors discuss AI with students and teach them about ethical AI use.

• AI & Information Literacy Canvas Module: A 1-2 hour module explaining how AI works, the risks of using AI, and how to evaluate AI answers for accuracy and bias.
• DePaul University's Guide to Teaching AI: A comprehensive guide to AI in higher education that includes assignment and activity ideas.
• University of Virginia's Generative AI in Teaching Guide: Subject specific guides for leveraging AI tools and mitigating risks in teaching and instruction.
• Guide for Integrating AI Considerations into Courses: A step by step guide for getting familiar with AI and assessing how AI would interact with your assignments.
• Designing Assignments to Integrate and Engage AI: Strategies for implementing AI in assignment design.
• Ethical Framework for AI in Education: a framework proposed by the Institute Ethical AI in Education that seeks to enable all learners to benefit from AI in education, while also protecting against the known risks this technology presents.
• Northwestern University Heuristic for Designing Learning Experiences with Generative AI
• MIT Guide to Teaching AI

• Drafting Syllabi Policies for AI Generative Tools: A multidisciplinary collection of syllabi policies created by instructors at other institutions.
• A Collection of university and college AI policies and websites
• Sample AI Course Policies from University of Oregon
• "Should You Add an AI Policy to Your Syllabus?" Chronicle of Higher Education (Kevin Gannon, 7/31/23)