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Gender bias in images of anaesthesiologists generated by artificial intelligence · Study

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ArticleGender bias in images of anaesthesiologists generated by artificial intelligence

Mia Gisselbaek2024

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Articlebronze2024

Gender bias in images of anaesthesiologists generated by artificial intelligence

Mia Gisselbaek · Ekin Köselerli · Mélanie Suppan · Laurens Minsart · Başak Ceyda Meço · Laurence Seidel +4 more

16 citations·0/0 files stored·British Journal of Anaesthesia

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Diversity and Career in Medicine Ethics and Social Impacts of AI Artificial Intelligence in Healthcare and Education

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References

2021Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency 2023Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale 2023Demographic Representation in 3 Leading Artificial Intelligence Text-to-Image Generators 2022Exposing implicit biases and stereotypes in human and artificial intelligence: state of the art and challenges with a focus on gender 2024Online images amplify gender bias 2021Current status and solutions for gender equity in anaesthesia research 2024Bias in Generative AI 2023AI revolution in healthcare and medicine and the (re-)emergence of inequalities and disadvantages for ageing population

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Details

Year2024

Typearticle

Published2024-06-27

VenueBritish Journal of Anaesthesia

ISSN-L0007-0912

Languageen

Citations16

Files0 public / 0

ShelfDiversity and Career in Medicine

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doi10.1016/j.bja.2024.05.027

openalex_workW4400089042

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