Faculty AI Communication Framework
An evidence-based approach to reducing instructional ambiguity while preserving faculty autonomy.
Communication Resources
The Communication Resources toolkit helps faculty translate course-specific generative AI decisions into clear, consistent student-facing language. The resources provide adaptable structures and terminology without requiring faculty to adopt identical policies or instructional approaches.
Upon approval and implementation of the Faculty AI Communication Framework, this page will contain downloadable communication templates, editable examples and discipline-specific resources that faculty can adapt for their courses and assignments.
This Toolkit Will Include
Adaptable Syllabus Statements
Sample statements will help faculty explain whether generative AI is prohibited, permitted for specific purposes or intentionally integrated into course learning. Each statement can be revised to reflect disciplinary context and instructional goals.
Assignment Instruction Templates
Assignment-level templates will help instructors identify acceptable and prohibited uses, explain documentation or disclosure expectations and clarify how AI-related decisions connect to evaluation criteria.
Disclosure and Discipline Examples
Examples will demonstrate how students can disclose appropriate AI use and how expectations may differ across assignments, courses and disciplines while still using a recognizable communication structure.
Purpose of the Communication Toolkit
These resources help faculty convert instructional decisions into clear expectations students can understand before beginning their work. Consistent structures and terminology reduce ambiguity while preserving the flexibility instructors need to make appropriate course-specific choices.