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Beyond the stereotypes: Artificial Intelligence image generation and diversity in anesthesiology
14
Zitationen
10
Autoren
2024
Jahr
Abstract
AI models exhibited notable biases in gender, race/ethnicity, and age representation, failing to reflect the actual diversity within the anesthesiologist workforce. These biases highlight the need for more diverse training datasets and strategies to mitigate bias in AI-generated images to ensure accurate and inclusive representations in the medical field.
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