A Case Study of AI in Medical Schools: Perceptions of Ethical Uses and Policies

• In Event: AERA Roundtable Session Thursday 8:00 am Four Seasons Ballroom 4
  In Roundtable Session: Technology in Health Professions Education (Table 8)

Abstract

Regulatory policies regarding the use of artificial intelligence (AI) in higher education have not been fully explored. This multiple case study investigated the experiences of medical school faculty regarding their use of generative AI in both didactic and clinical settings and their perspectives on faculty’s engagement in AI policy formation. Semi-structured interviews of four participants produced robust data, which were coded and categorized using thematic coding methods. The results reveal three main themes in the application and policy formation of AI in higher education and found that GAI is currently being used in limited amounts throughout medical education, which may provide policy makers with insights and a remedial framework for any future organizational or departmental AI policy.

Authors

• Gabriel Roybal, College of William & Mary

• Xiaohong Chen, College of William & Mary

• Ailidh Wallace, College of William & Mary