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Demographic Representation in 3 Leading Artificial Intelligence Text-to-Image Generators
72
Zitationen
16
Autoren
2023
Jahr
Abstract
In this study, 2 leading publicly available text-to-image generators amplified societal biases, depicting over 98% surgeons as White and male. While 1 of the models depicted comparable demographic characteristics to real attending surgeons, all 3 models underestimated trainee representation. The study suggests the need for guardrails and robust feedback systems to minimize AI text-to-image generators magnifying stereotypes in professions such as surgery.
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