aceExploring Racial Bias in Rating Facial Attractiveness Among Artificial Intelligence Platforms
Abstract As artificial intelligence (AI) becomes increasingly integrated into aesthetic medicine, its influence on beauty standards and clinical practice warrants closer evaluation, especially among a diverse population. This study aimed to evaluate whether AI-based facial attractiveness platforms assign differing attractiveness scores across ethnic groups despite standardized image characteristics, with the hypothesis that significant differences would exist between ethnic groups and AI platforms, reflecting po…
Five AI facial attractiveness platforms gave AI-generated images of White women the highest average scores and Black women the lowest, suggesting bias that could shape beauty standards in aesthetic medicine.
The images were AI-generated stock photos of young adult women only, and the authors say only that some platforms may show bias, so the results do not establish effects on real patients or men.
Evidence
- Peer-reviewedFacial Plastic Surgery2026-10-21
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Truvace Impact Record TRV-2026-2159, v1: “Exploring Racial Bias in Rating Facial Attractiveness Among Artificial Intelligence Platforms.” Truvace, 2026-10-22. /record/TRV-2026-2159 (accessed at citation time). sha256 296d40db4139843e…
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