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Generative AI in Medicine: Pioneering Progress or Perpetuating Historical Inequities?
Philip Sutera;
Rohini Bhatia;
Timothy Lin;
Leslie Chang;
Andrea Brown;
Reshma Jagsi
ABSTRACT
In a pilot experiment, we utilized AI to generate 100 photographs of physicians in 19 medical subspecialties and compared these photographs to the existing and incoming medical specialty workforce. Our work demonstrates that generative AI has a tendency to under represent women in common specialties, and thus the utilization of this tool in the future must be viewed with caution and a lens of known historical bias.
Citation
Please cite as:
Sutera P, Bhatia R, Lin T, Chang L, Brown A, Jagsi R
Generative AI in Medicine: Pioneering Progress or Perpetuating Historical Inaccuracies? Cross-Sectional Study Evaluating Implicit Bias
