As artificial intelligence becomes embedded in higher education, faculty need practical tools for ethical decision-making that extend beyond compliance. This interactive session introduces the EQUITY-AI Framework, a step-by-step model for evaluating AI use through lenses of transparency, authorship, bias, privacy, and equity. Participants will engage in polls, case applications, and guided activities to apply the framework. Attendees leave with adaptable strategies and tools they can immediately implement across disciplines and instructional modalities.
