IACAI AI Integration Framework: Learner Matrix

The AAMC, in collaboration with AMEE: The International Association for Health Professions Education, the Alliance of Academic Health Centers International (AAHCI), the International Association of Medical Science Educators (IAMSE), and the Asia Pacific Medical Education Network (APMEN), has convened the International Advisory Committee for Artificial Intelligence.Representing diverse global perspectives, the IACAI Committee brings together expertise across regions and disciplines to ensure that emerging AI innovations and educational approaches can be harnessed for the benefit of learners, educators, and institutions worldwide.Organized by the AAMC's MedBiquitous program, this initiative aims to provide guidance and best practices for the health professions education (HPE) community.The Committee actively monitors the rapidly evolving AI landscape, identifying opportunities, challenges, and ethical considerations that impact learners and the faculty and staff who support them.Across 12 domains of AI integration, the framework provides actionable recommendations aligned with shared vision statements, supporting educators and institutions in advancing AI integration that is ethical, equitable, and mission-aligned.These domains include: IACAI AI Integration Framework: Learner Matrix v2026 Equipping undergraduate medical learners to utilize responsible AI integration For questions, feedback, or assistance using a resource, please contact us at medbiq@aamc.orgHow to Use This Matrix Step 1: Identify your role → Intrapersonal (Self), Micro (Educator), Meso (Institution), Macro (Organization), or Mega (Consortia).Step 2: Select a domain relevant to your context.Step 3: Find action steps in the corresponding cell of that domain's table.For additional resources and to learn more, visit: www.medbiq.org.1.Values, Culture & Integration Plan 2.AI Foundation Skills 3.AI Ethical & Responsible Use 4.AI Tools, Systems, and Resources 5.AI for Instruction and Academic Tasks 6.AI to Enhance Clinical Skills and Clinical Training 7.AI for Assessment and Feedback 8.AI for Admissions, Mentorship, and Post-Graduate Selection 9.AI for Curricular Optimization and Program Evaluation 10.AI for Research and Research Mentorship 11.AI-Ready Workforce 12.