Purpose: To evaluate demographic representation in AI-generated and search-engine-sourced images of North American ophthalmologists, overall and stratified by subspecialty, and compare these with actual demographic data.
Methods: This cross-sectional analysis examined 2000 images (1000 AI-generated and 1000 search-engine-sourced) across ten North American ophthalmology subspecialties. Images were sourced from four AI platforms (DALL·E 3, Firefly, Midjourney, Grok-2) and four search engines (Google, Bing, DuckDuckGo, Yahoo!). Using a standardized framework, reviewers assessed gender, race, age group, and professional attire. Pearson chi-squared tests were used to compare image sets with actual demographic data from the Association of American Medical Colleges and Canadian Institute for Health Information.
Results: AI-generated images depicted 69% men compared to 64% in search-engine-sourced images (
p = 0.047), though both were lower than the actual proportion of male ophthalmologists in North America (71–73%,
p < 0.001). White individuals were overrepresented in AI-generated images (81%) relative to both search-engine-sourced images (74%,
p = 0.001) and actual demographic data (69%,
p < 0.001). Younger individuals (under 50 years) were significantly overrepresented in both image sets, with 82% in AI-generated images and 73% in search-engine-sourced images, compared to only 45–46% in actual demographic data (
p < 0.001 for both). AI-generated images also depicted ophthalmologists with significantly more stereotypical medical accessories, including stethoscopes (17% vs. 2%,
p < 0.001), glasses (45% vs. 30%,
p < 0.001), and white coats (68% vs. 53%,
p < 0.001), compared to search-engine-sourced images.
Conclusions: AI-generated images diverge from actual demographics, presenting a younger, more stereotypical workforce that paradoxically aligns closer to gender parity than reality.
Full article