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Ensuring Appropriate Representation in Artificial Intelligence–Generated Medical Imagery: Protocol for a Methodological Approach to Address Skin Tone Bias
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Ensuring Appropriate Representation in Artificial Intelligence–Generated Medical Imagery: Protocol for a Methodological Approach to Address Skin Tone Bias (2024)Ensuring Appropriate Representation in Ar…Demographic Representation in 3 Leading Artificial Intelligence Text-to-Image Generators (2023)Demographic Representation in…Diversity of Skin Images in Medical Texts: Recommendations for Student Advocacy in Medical Education (2021)Diversity of Skin Images in M…Detecting race and gender bias in visual representation of AI on web search engines (2021)Detecting race and gender bia…Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines (2021)Detecting Race and Gender Bia…Dermatologic Health Disparities (2011)A Digital Ethnography of Medical Students who Use Twitter for Professional Development (2015)Skin color in dermatology textbooks: An updated evaluation and analysis (2020)Anatomy's missing faces: An assessment of representation gaps in atlas and textbook imagery (2024)Bias in computer systems (1996)The Relevance of Algorithms (2014)Algorithms of Oppression (2018)Representativeness and face-ism: Gender bias in image search (2022)Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness (2023)Algorithmic gender bias: investigating perceptions of discrimination in automated decision-making (2024)Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (2018)Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search (2022)Social Robotics and the Good Life (2022)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women * (2022)Gender bias in generative artificial intelligence text-to-image depiction of medical students (2024)Representation of intensivists’ race/ethnicity, sex, and age by artificial intelligence: a cross-sectional study of two text-to-image models (2024)A scoping review and evidence gap analysis of clinical AI fairness (2025)
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References

  • 2023Demographic Representation in 3 Leading Artificial Intelligence Text-to-Image Generators85 cited
  • 2021Diversity of Skin Images in Medical Texts: Recommendations for Student Advocacy in Medical Education43 cited
  • 2021Detecting race and gender bias in visual representation of AI on web search engines38 cited
  • 2021Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines35 cited

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