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From AI Literacy to Leadership: Milestones for Faculty Development in Health Professions Education
Nehal Khamis1,2,3, Toni Ungaretti2, Sean Tackett1,3
1Division of General Internal Medicine, Johns Hopkins Bayview Medical Center, 4940 Eastern Ave, Baltimore, MD 21224 USA.
Medical Science Educator
|March 9, 2026
Summary
This study introduces a milestone-based framework to guide artificial intelligence (AI) competency development for health professions education (HPE) faculty. It outlines progressive levels for integrating AI skills and addressing ethical considerations in AI-enhanced education.
Area of Science:
- Medical Education
- Artificial Intelligence
- Faculty Development
Background:
- Artificial intelligence (AI) is increasingly impacting health professions education (HPE).
- Existing guidance for integrating AI competencies into HPE faculty development is limited.
- There is a need for structured approaches to prepare educators for AI in healthcare training.
Purpose of the Study:
- To propose a novel, milestone-based approach for integrating AI competencies into HPE faculty development.
- To provide a framework that supports faculty in understanding, evaluating, and teaching with AI.
- To address the ethical implications and well-being impacts of AI in HPE.
Main Methods:
- Developed a framework based on the UNESCO framework for general educators and IACAI recommendations for medical education.
- Utilized the ACGME Milestones format to define progressive levels of AI competency.
- Defined five developmental levels from basic literacy to global leadership across six competency domains.
Main Results:
- The proposed framework offers five progressive levels of AI competency development.
- It covers six key domains relevant to AI integration in HPE.
- The approach facilitates a structured progression for faculty learning and application of AI.
Conclusions:
- The milestone-based approach provides a structured pathway for AI faculty development in HPE.
- This framework supports educators in navigating AI's complexities, including ethical considerations.
- It aims to enhance the effective and responsible use of AI in health professions education.
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