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Evaluating the Potential of Reasoning Large Language Models to Perpetuate Racial and Gender Disease Stereotypes in
Joshua J Docking1, Lee X Li1, Bradley D Menz1
1College of Medicine and Public Health, Flinders University, GPO Box 2100, Adelaide, SA, 5001, Australia, 61 (08) 82013217.
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This evaluation of 36,000 clinical vignettes found that next-generation reasoning large language models, o3-mini and DeepSeek-R1, frequently perpetuate racial and gender stereotypes for common medical conditions, indicating that advancements in reasoning do not inherently improve representational fairness.
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