Teaching With Artificial Intelligence: A Scoping Review of Ethical Considerations in Medical Education Settings

• In Event: Virtual Poster Session
  In Virtual iPresentation Only: SIG-Instructional Technology Virtual Poster Session

Abstract

In the evolving realm of medical education where AI technologies play an increasingly pivotal role, it has become crucial to embed principles of AI ethics. The purpose of this scoping review is to synthesize key characteristics and focal areas of the existing literature on AI ethics in medical education, including geographical distribution, year of publication, article type, keywords, conclusions, and ethical concerns. This review also aims to identify trends and gaps in the research to inform future studies in the field. Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines were followed. The most frequently observed focal themes include incorporating AI in medical education, AI ethical principles in medical education, and ChatGPT in healthcare education.

Authors

• Amani Itani, University of Houston

• Susie Gronseth, University of Houston

• Bettina Beech, University of Houston

• Marino A Bruce, University of Houston

• Salma Musaad, Baylor College of Medicine

• Thuy Nguyen, Baylor College of Medicine

• Yiming Mirabile, Baylor College of Medicine