As AI tools become part of everyday practices, teaching assistants play a crucial role in helping students understand and navigate responsible AI use. Whether you’re implementing AI policies developed by your course instructor or contributing to their creation, clear communication about AI expectations becomes an essential part of your teaching practice. Grounded in the University of Toronto AI Task Force’s principles, this session takes a pedagogy-driven approach to helping TAs and course instructors articulate and support AI expectations in ways that build trust and transparency with students.
In this session, you will explore how to:
- Communicate your course’s AI policies clearly and consistently across tutorials, office hours, and assignment feedback
- Understand how AI policies connect to learning objectives so you can explain the “why” behind expectations
- Navigate common student questions and challenging conversations about AI use
- Support ongoing dialogue about AI through your interactions with students rather than one-time policy enforcement
This session provides teaching assistants and course instructors with practical strategies for communicating AI expectations in ways that support student learning. Whether you are developing your AI communication approach or refining existing strategies, we will explore how transparent communication about GenAI serves both pedagogical goals and student development, helping learners build critical judgment about appropriate resource use.