A Three-Step Guide for URI Instructors

Generative AI has made the development of clear academic-integrity expectations more important. Faculty can reduce uncertainty for students by: 

1. Setting clear expectations for your students in multiple formats before the work begins. 
2. Talk with your students and repeat your expectations throughout the course.  
3. Address any concern(s) when it/they arises and follow the process using URI’s established Academic Honesty Procedures whenever issues arise.

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URI Resources: 

Questions about teaching and assignment design?

• AI and Assessment (ATL)
• Human-Centered AI & Teaching (ATL)

Questions about AI literacy, citation, or research?

• Understanding and Using AI for Instructors (University Libraries) 

Questions about AI-use transparency?

• URI CYPHER Center: CYPHER AI Usage Marking Pilot 

Questions about reporting or Academic Honesty Procedures?

• Academic Honesty Procedures (Office of Community Standards)

Questions about AI Use Expectations?

• AI Syllabus Guidance (ATL)
• Download our customizable presentation deck on “AI Use Expectations” . It’s intended to help facilitate conversations with your students about AI use expectations in your course.

Questions about what to do when you suspect an Academic Integrity violation?

• Learn more by downloading our 10 step guide on “What to do When You Suspect An Academic Integrity Violation”

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Special thanks to the Office of Community Standards for their collaborative support in helping our office develop this faculty resource.

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