Real or Replica? Ensuring Authentic Clinician Engagement in the Age of AI

As artificial intelligence (AI) tools and automated bots become more sophisticated, medical education professionals face a growing challenge: ensuring that the learners engaging in CME activities and responding to surveys are real, practicing clinicians. This session will explore the emerging concerns around identity verification in CME participation and educational outcomes assessment, particularly in digital environments.

Through discussion of real-world examples this session will raise awareness of how bots and even AI-generated survey responses may be distorting engagement metrics and undermining data integrity. We will review the implications for grant reporting, learner outcomes analysis, and longitudinal education strategy—while presenting new and evolving safeguards to help identify authentic clinician participation.

This interactive session will engage participants in identifying vulnerabilities in current CME systems, exploring case studies of suspicious activity, and brainstorming solutions to strengthen verification processes. We will also discuss the ethical and logistical considerations in applying stricter authentication standards, especially when balancing ease of access with data reliability.