Guidelines & Responsible Use

Policy Resources

• AI and Copyright-3 Key Issues: a nice article identifying the primary concerns around copyright and AI.

• Institutional & Course-Specific Policy statements:

  • UW-Madison

  • Approaches to developing AI policy

Responsible Use Resources

• AI Ethical Guidelines: Educause describes each of the elements of ethical AI use: Beneficence, Justice, Respect for Autonomy, Transparency and Explainability, Accountability and Responsibility, Privacy and Data Protection, Nondiscrimination and Fairness, and Assessment of Risks and Benefits.

• Don't just prompt, copy, paste: just as we don't want students to do this, educators also need to iterate. This article clearly explains the importance of looking at AI generated lesson plans and any other content with a critical eye.

• Critical evaluation tools for AI generated content. Develop Media Literacy skills in all students.

  • FLUF test: Developed by Dr. Parker, U of FL.

  • CRAAP test: Developed at CSU, Chico, used to test any sort of research, not just AI. Infographic form.

• AI Literacy Framework: Developed by Kate Grovergrys of Madison College, this framework helps educators move towards a more positive approach to teaching AI literacy and away from policing it's use.

• Teaching Students to Use AI Responsibly: Interesting ideas in this article that could be adapted to a WL activity to help students to use AI as a learning partner rather than a learning replacement.

• Generative AI decision tree: a useful flow chart for students to help them determine when and how to use AI in their work. 

• Bloom's Taxonomy Revisited: with AI finding all the facts, this enhanced version of Bloom's, developed at the University of Oregon, shows what AI provides and what human factors can be assessed at the different levels of the taxonomy. 

• Understanding How AI Works Makes It More Effective in Lesson Planning: Edutopia article describing a teachers experience and lessons learned in using Gen AI to develop a unit plan and series of lessons.

• How OpenAI Works for geeks wanting to better understand different versions and what's behind the scenes. 

• The AI Assessment Scale: from no AI to full AI integration, this scale helps identify where different educational tasks fall and how to explain your AI policy to your students.

• Using AI Tutors to Flip Your Classroom: prepared students allow teachers to push students to higher-order skills during synchronous time.

• Designing AI-Enhanced Assignments for Deeper Learning: ideas for integrating AI into learning and guiding students to higher levels of bloom's taxonomy.AI for Research: a page of links provided by the librarians at Northwestern University.

• StefaTECH is about whether, when, and how to use tech successfully with a focus on use of AI

• AI vs. Human: a video from CASLS with ideas/activities that help you and your students recognize what AI does and does not do well with respect to cross cultural communication.  

• Augmented Course Design-Using AI to Boost Efficiency and Expand Capacity: great article that will help speed up the process on course design. Work smarter not harder!