Through a Glass Darkly: Perceptions of Ethnoracial Identity in Artificial Intelligence Generated Medical Vignettes and Images
The prevalence of dataset bias and AI's user-dependent learning abilities underscore the importance of human stewardship. The increasing use of AI in generating medical education content, like MCQs, demands vigilant use of such tools to combat the reinforcement of the race-based stereotypes in medicine.
Authors
- Michael J. Montalbano (ORCID: https://orcid.org/0000-0001-8972-2461)
- Kevlian Andrew (ORCID: https://orcid.org/0009-0006-5757-631X)
Institutions
- St. George's University (GD)
Publication Details
- Journal
- Medical Science Educator
- Published
- 2025-02-27
- DOI
- https://doi.org/10.1007/s40670-025-02332-9
- Citations
- 2
- Primary Topic
- Vaccine Coverage and Hesitancy
- Type
- article
- Field-Weighted Citation Impact
- 4.33