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.

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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
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article

Seeing Is Believing? Exploring Gender Bias in Artificial Intelligence Imagery of Specialty Doctors

A. Howland Hartley, James Michael Fisher
The Clinical Teacher
Artificial Intelligence in Healthcare and Education
article

Seeing Is Believing? Exploring Gender Bias in Artificial Intelligence Imagery of Specialty Doctors

A. Howland Hartley, James Michael Fisher
article en

Abstract

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.

The Clinical TeacherVol. 23(1)
Northumbria Healthcare NHS Foundation Trust (GB), Newcastle University (GB)
Openalex Percentile: Top 66%
Artificial Intelligence in Healthcare and Education
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