AI is rapidly reshaping medical education, from the way faculty teach and conduct research to how institutions prepare the workforce of the future. Yet many schools struggle to move beyond AI pilot projects toward a coherent strategy. This focus session offers participants a practical pathway: A Toolkit for Integrating AI into Medical Education. Anchored in the International Advisory Committee for Artificial Intelligence (IACAI) Integration Framework, the workshop provides structure for navigating 12 domains of AI integration, spanning AI culture, foundational skills, ethical and responsible use, and tools. It also addresses AI’s role in instruction and academic tasks, enhancement of clinical skills, assessment practices, and curriculum optimization.

The 90-minute agenda is designed for engagement and practical take-home value. Participants will be guided through a gallery of toolkit resources, including Integration Inventories, a Priorities Worksheet, the Framework GPT, AI Literacy Competencies, and a sample AI Foundations course outline. Participants will then complete an institutional inventory to identify their own adoption profile and select three integration priorities. Using AI tools, they will explore strategies for advancing these priorities. Small-group discussions will invite cross-institutional exchange on how different toolkit components support implementation across undergraduate and graduate medical education. A large-group debrief will surface common themes and actionable approaches.

By the end of the session, participants will leave with a personalized institutional adoption profile, concrete strategies to advance integration in multiple domains, and access to a curated set of resources for continued planning. This hands-on, collaborative format ensures that medical educators, curriculum leaders, and administrators walk away equipped to lead purposeful AI integration at their institutions.

Learning Outcomes

• Locate and navigate the AI Integration Toolkit and resources.
• Apply the IACAI Integration Framework to select among 12 domains of implementation.
• Use AI chatbots and the Framework GPT to identify integration strategies and solutions.
• Evaluate how toolkit components (Framework GPT, GME Toolkit, AI Literacy Competencies, and curricular exemplars) can support AI integration across different levels of medical education.