AI: data use cases in action and institutional guidelines

During the May Badger Data Network, we focused on generative AI, including institutional guidelines and ethical use, and examples of AI in action. We provided an opportunity to share current AI use, pressing questions, and ideas for additional support. 

Four use cases

DAPIR staff highlighted four use cases.

  • Translating dense Web Content Accessibility Guidelines (WCAG) into digestible, actionable pieces. 
  • Learning new code methods. 
  • Working with open-ended survey feedback. 
  • Refactoring code. 

All use cases adhered to institutional guidelines and emphasized a human-centered approach, including the verification of AI-generated content. They also reinforced that AI complements—rather than replaces—the critical thinking skills of humans and is best used in tandem with the rich institutional knowledge and higher education expertise people provide. 

Resources

Slide deck (includes speaker notes and contact information)

Generative AI policies

AI tools at UW—Madison

AI at work: A practical guide 

Data stewards 

Data classification

FERPA and AI

UW System Administrative Policy 1305:  Computer Software Ownership

Generative AI (library research guide).

Current AI use, pressing questions, and future support ideas