Faculty AI Communication Framework
An evidence-based approach to reducing instructional ambiguity while preserving faculty autonomy.
Faculty Decision Guide
The Faculty Decision Guide provides a structured planning process that helps instructors determine how generative AI aligns with their course learning objectives before communicating expectations to students. Rather than prescribing a single institutional policy, the guide supports intentional, course-specific instructional decisions.
Upon approval and implementation of the Faculty AI Communication Framework, this page will contain the complete Faculty Decision Guide, downloadable planning worksheets and implementation examples designed to support faculty decision-making across disciplines.
This Resource Will Include
Learning Objective Analysis
Faculty begin by identifying the knowledge, skills and cognitive processes students are expected to demonstrate. This establishes whether generative AI supports, supplements or interferes with the intended learning outcome.
Decision-Making Prompts
A series of reflective questions guides instructors through appropriate levels of AI integration, identifies potential instructional risks and supports consistent pedagogical decision-making across assignments.
Communication Alignment
Once instructional decisions have been made, faculty receive guidance for translating those decisions into clear syllabus language and assignment expectations that reduce ambiguity for students.
Purpose of the Decision Guide
These resources help faculty make intentional instructional decisions before developing student-facing materials. By beginning with learning objectives rather than AI tools, the framework preserves faculty autonomy while promoting greater clarity, consistency and alignment between instructional goals and classroom communication.