Artificial Intelligence for Oversight: AI in Continuing Professional Development Accreditation

Abstract

INTRODUCTION: Artificial intelligence (AI) is increasingly integrated into health professions education, yet its application in continuing professional development (CPD) oversight remains underexplored. Accrediting bodies play a critical role in ensuring that continuing education is trustworthy, unbiased, and aligned with professional standards. METHODS: This perspective synthesizes current literature and professional guidance to examine potential applications of AI in accreditation oversight. The analysis considers how AI could support efficiency, consistency, and insights across regulatory functions, while emphasizing the continued necessity of human judgment and governance. RESULTS: Opportunities for accreditor use of AI include screening reaccreditation materials, identifying high-risk activities for audit, synthesizing national trends, linking participation data with certification and licensure systems, and assessing providers' responsible use of AI tools. A structured framework of opportunities and risks highlights the promise of efficiency and data integration alongside challenges related to accuracy, equity, transparency, security, and public trust. DISCUSSION: Accrediting systems have an opportunity to model responsible AI use in ways that advance professional learning and safeguard the integrity of CPD. The responsible integration of AI, guided by principles of accountability, transparency, equity, and security, can help ensure that oversight is both efficient and trustworthy, while reinforcing the credibility of CPD systems worldwide.

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