Introduction:
As artificial intelligence (AI) becomes increasingly integrated into health education, research, and clinical practice, institutions are releasing guidelines and policies that impact how faculty, staff, and learners engage with these technologies. In this rapidly changing landscape, current and future healthcare practitioners must quickly familiarize themselves with these guidelines and policies to adapt and shape their use of AI. To support the development of AI literacy, this project aims to create and share learning materials that facilitate understanding and application of institutional AI policies.

Description:
The team reviewed AI-related guidelines from member institutions of the Association of Faculties of Medicine of Canada (AFMC), using ChatGPT to extract common elements and build an educational framework. Policies from select healthcare institutions were also analyzed, and additional themes were incorporated. In total, twelve key themes emerged.

For each theme, case-based learning scenarios were developed for diverse audiences, including students, clinicians, and researchers. Scenarios included details on population, context, use type, tool license level, and discussion prompts. Feedback from clinicians and educators helped ensure relevance and applicability. Scenarios were translated into French, and both versions are openly available.

Discussion:
Health sciences librarians are uniquely positioned to collaborate with faculty and learners in developing AI competencies and promoting best practices in information use. By leveraging open educational methods, this resource is designed to be adaptable across institutions, supporting engaging and policy-informed AI education for health and medical learners, faculty and staff.