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Gender bias in generative artificial intelligence text-to-image depiction of medical students
8 references·1 citing·46 second hop
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this work references cited by second hop

References

  • 2023Gender bias and stereotypes in Large Language Models381 cited
  • 2019Trends in Racial/Ethnic Representation Among US Medical Students340 cited
  • 2021Diversity of the National Medical Student Body — Four Decades of Inequities231 cited
  • 2019Recognizing and Reacting to Microaggressions in Medicine and Surgery225 cited
  • 2015Reasons and remedies for under-representation of women in medical leadership roles: a qualitative study from Australia159 cited
  • 2023Sexual harassment, sexual assault and rape by colleagues in the surgical workforce, and how women and men are living different realities: observational study using NHS population-derived weights90 cited
  • 2023Demographic Representation in 3 Leading Artificial Intelligence Text-to-Image Generators85 cited
  • 2019Difficulty Orientations, Gender, and Race/Ethnicity: An Intersectional Analysis of Pathways to STEM Degrees36 cited

Cited by

  • 2025The Gendered, Epistemic Injustices of Generative AI25 cited

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