The rapid advancement of AI presents significant opportunities and challenges for medical education. Many medical schools are adopting AI, often referred to as 'integration.' However, these efforts are fragmented, lacking a unified vision, leading to inconsistent AI adoption across institutions. In July 2024, the AICAI developed best practices and steps for advancing AI integration in medical schools for different stakeholders: learners, educators, institutions, medical education organizations, and global consortia. The purpose of this framework is to assist in not only implementing AI initiatives, but also embedding AI into the core of medical education. This session introduces the AI Integration Framework and refines it based on participant input. By engaging participants in refining vision statements and providing feedback, the session aims to validate and strengthen the framework, ultimately sharing it across medical schools. This session will collect participant input through a research project entitled, Integrating AI in Medical Education: A Framework for the Future.

Agenda & Methods
The session will include four main segments:

1. Introduction to IACAI and Framework Overview (15 min): A brief introduction to the IACAI and its AI Integration Framework. Handouts will be provided.
2. AI Vision Statements Refinement (25 min): Each participant will receive two copies of the AI vision statement document: one to keep and one to mark up. Session leaders will ask participants to work in pairs to consider the vision statements. One partner will take notes on a shared team copy. Participant comments may be general or specific. At the end of this pair discussion, the session leaders will collect the shared team copies with the notes, and then will ask for a few comments about the vision statements. A sample vision statement is as follows: “AI-Literate Faculty: Medical educators will be fluent in AI technologies, understanding their applications, limitations, and ethical considerations. Educators will possess the skills to effectively use AI tools for continuous learning, teaching, research, and clinical decision-making.”
3. AI Integration Matrix Charts Feedback (25 min): Participants will work in small teams of five to review the Integration Framework in two matrix charts. providing feedback to enhance practical application in diverse educational settings. This exercise will begin with a 5-minute self-assessment exercise using a given AI integration matrix chart to inventory one’s own program. Finally, each team will fill out a brief questionnaire to provide their group’s matrix chart feedback.
4. Summary and Discussion (25 min): The session concludes with a summary and open-floor discussion, allowing participants to share final thoughts and discuss applications for their institutions. First the session leaders will project the vision statements on the large screen, and ask for commentary on the vision statements, and record these comments. Finally, session leaders will invite participant comments on the integration framework.