Establishing and Implementing Artificial Intelligence (AI) Policy in GME Recruitment - September 10

Artificial Intelligence (AI) is all around us; sometimes we don’t even recognize its presence. It boasts many benefits, however, it is also important to consider negative impacts of artificial intelligence and to safeguard against potential negative impacts by developing policies for its use and ensuring implementation conforms to those policies. The use of AI in residency selection is a complex and dynamic topic of significant interest to the academic medicine community. During this session, we will explore with our panelists how institutions should be thinking about the impact AI may have on programs and how, or if, they might seek to utilize it.

Learning Objectives:

• Understand the evolving landscape of AI integration in residency selection, including the motivations, challenges, and considerations guiding institutional decisions.
• Analyze the potential impacts of AI on processes within medical education institutions, exploring both the opportunities and risks associated with its implementation.
• Evaluate various perspectives and strategies in navigating the adoption of AI tools and fostering critical thinking and informed decision-making regarding their utilization in residency selection.

Arun Mahtani, MD, MS
Cardiology Fellow, Virginia Commonwealth University

Laurah Turner, Ph.D.
Assistant Dean for Assessment and Evaluation, University of Cincinnati