As institutions grapple with AI’s impact on teaching, faculty development models reliant on one-off workshops or tool training often fall short. This session shares findings from a collective, lab-based model in which instructors experiment with AI in courses, learn from peers, and receive guidance from pedagogical and technical experts. The lab is an active collaboration between faculty and staff and operates as a sandbox for co-creation, reflection, and sensemaking, centering student learning while generating data to inform institutional AI strategy. Participants will explore key patterns, tensions, and design insights and consider how this approach builds capacity for AI-rich, human-centered teaching.
