Seeing Is Believing? Exploring Gender Bias in Artificial Intelligence Imagery of Specialty Doctors
The finding of representational and presentational gender bias in AI-generated images of doctors is consequential because 'visual culture' within medical school, and beyond, matters. We contend that healthcare educators ought to employ caution when using AI and consider developing guidance on responsible use of AI imagery; otherwise, they risk perpetuating, rather than challenging, harmful gender stereotypes about medical career pathways.
Authors
- A. Howland Hartley (ORCID: https://orcid.org/0009-0009-0730-3892)
- James Michael Fisher (ORCID: https://orcid.org/0000-0002-4886-6060)
Institutions
- Northumbria Healthcare NHS Foundation Trust (GB)
- Newcastle University (GB)
Publication Details
- Journal
- The Clinical Teacher
- Published
- 2025-12-08
- DOI
- https://doi.org/10.1111/tct.70297
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00