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Gender bias in images of anaesthesiologists generated by artificial intelligence
9 references·0 citing·43 second hop
Gender bias in images of anaesthesiologists generated by artificial intelligence (2024)Gender bias in images of anaesthesiologis…Online images amplify gender bias (2024)Online images amplify gender …Bias in Generative AI (2024)Bias in Generative AIEasily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale (2023)Easily Accessible Text-to-Ima…Demographic Representation in 3 Leading Artificial Intelligence Text-to-Image Generators (2023)Demographic Representation in…AI revolution in healthcare and medicine and the (re-)emergence of inequalities and disadvantages for ageing population (2023)AI revolution in healthcare a…Exposing implicit biases and stereotypes in human and artificial intelligence: state of the art and challenges with a focus on gender (2022)Exposing implicit biases and …Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (2021)Proceedings of the 2021 ACM C…Current status and solutions for gender equity in anaesthesia research (2021)Current status and solutions …The feminisation of medicine (2005)The feminisation of medicineGender Differences in Time Spent on Parenting and Domestic Responsibilities by High-Achieving Young Physician-Researchers (2014)Sex Differences in Physician Salary in US Public Medical Schools (2016)Faculty Service Loads and Gender: Are Women Taking Care of the Academic Family? (2017)Evaluating the Women's Empowerment and Leadership Initiative: Supporting mentorship, career satisfaction, and well‐being among pediatric anesthesiologists (2022)Social capital as a catalyst for gender inequality: A scoping review of networking disparities in academic medicine (2024)Intersectionality and diversity, equity, and inclusion in the healthcare and scientific workforces (2025)A BEHAVIORAL MODEL OF RATIONAL CHOICE (1955)Judgment under Uncertainty: Heuristics and Biases (1974)Gender Trouble: Feminism and the Subversion of Identity (1991)Convergence of artificial intelligence with social media: A bibliometric & qualitative analysis (2024)Gender biases within Artificial Intelligence and ChatGPT: Evidence, Sources of Biases and Solutions (2025)Reducing AI bias in recruitment and selection: an integrative grounded approach (2025)Sorting Things Out (1999)The ethics of algorithms: Mapping the debate (2016)Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (2018)Ethical Considerations in the Age of Artificial Intelligence: Balancing Innovation and Social Values (2023)Application of artificial intelligence in active assisted living for aging population in real-world setting with commercial devices – A scoping review (2024)Beyond the stereotypes: Artificial Intelligence image generation and diversity in anesthesiology (2024)Qualitative research in practice : examples for discussion and analysis (2002)Racism without racists: color-blind racism and the persistence of racial inequality in the United States (2004)Algorithms of Oppression (2018)Social Biases through the Text-to-Image Generation Lens (2023)Typology of Risks of Generative Text-to-Image Models (2023)How human–AI feedback loops alter human perceptual, emotional and social judgements (2024)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)Culture and Cognition (1997)Semantics derived automatically from language corpora contain human-like biases (2017)AI image generators often give racist and sexist results: can they be fixed? (2024)Age and gender distortion in online media and large language models (2025)Assessing political bias and value misalignment in generative artificial intelligence (2025)Women in veterinary leadership positions: their motivations and enablers (2019)Gender equity in anesthesia: is it time to rock the boat? (2023)Breaking the vicious cycle of algorithmic management: A virtue ethics approach to people analytics (2020)Data and its (dis)contents: A survey of dataset development and use in machine learning research (2020)Human confidence in artificial intelligence and in themselves: The evolution and impact of confidence on adoption of AI advice (2021)Cognitive bias in generative AI influences religious education (2025)Cultural Erosion or Innovation? Artisans’ Attitudes Toward AI-Generated Patterns in Chinese Traditional Subcultures (2025)Stereotypical bias amplification and reversal in an experimental model of human interaction with generative artificial intelligence (2025)
this work references cited by second hop

References

  • 2021Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency541 cited
  • 2023Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale340 cited
  • 2023Demographic Representation in 3 Leading Artificial Intelligence Text-to-Image Generators85 cited
  • 2022Exposing implicit biases and stereotypes in human and artificial intelligence: state of the art and challenges with a focus on gender82 cited
  • 2024Online images amplify gender bias62 cited
  • 2021Current status and solutions for gender equity in anaesthesia research48 cited
  • 2024Bias in Generative AI45 cited
  • 2023AI revolution in healthcare and medicine and the (re-)emergence of inequalities and disadvantages for ageing population38 cited
  • 2005The feminisation of medicine21 cited

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