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The invisible women: uncovering gender bias in AI-generated images of professionals
7 references·1 citing·33 second hop
The invisible women: uncovering gender bias in AI-generated images of professionals (2023)The invisible women: uncovering gender bi…Data Feminism (2020)Data FeminismGender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender Shades: Intersectional…Algorithms of Oppression (2018)Algorithms of OppressionWeapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)Weapons of Math Destruction: …Gender Stereotypes (2017)Gender StereotypesWeapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2016)Weapons of Math Destruction: …Is the Knowledge Society Gendered? (2010)Is the Knowledge Society Gend…Algorithmic bias, fairness, and inclusivity: a multilevel framework for justice-oriented AI (2025)Algorithmic bias, fairness, a…The Nature of the Firm (1937)The Strength of Weak Ties (1973)Bowling alone: the collapse and revival of American community (2000)Paradoxical Practices of Gender in Sport-Related Organizations (2012)Troubling intra-actions: gender, neo-liberalism and research in the global academy (2015)The body, identity and gender in managerial athleticism (2017)Big data: a revolution that will transform how we live, work, and think (2013)Big Data: A Revolution That Will Transform How We Live, Work, and Think (2014)Data Colonialism: Rethinking Big Data’s Relation to the Contemporary Subject (2018)Algorithms at Work: The New Contested Terrain of Control (2019)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Implicit social cognition: Attitudes, self-esteem, and stereotypes. (1995)Objectification Theory: Toward Understanding Women's Lived Experiences and Mental Health Risks (1997)A model of (often mixed) stereotype content: Competence and warmth respectively follow from perceived status and competition. (2002)Intersectionality: Connecting experiences of gender with race at work (2018)Gender stereotypes about interests start early and cause gender disparities in computer science and engineering (2021)Gender Stereotypes and Their Impact on Women’s Career Progressions from a Managerial Perspective (2021)Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective (1988)Model Cards for Model Reporting (2019)Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020)Race after technology. Abolitionist tools for the new Jim Code (2020)Algorithmic Bias in Education (2021)Artificial intelligence in developing countries: The impact of generative artificial intelligence (AI) technologies for development (2023)Scoping studies: towards a methodological framework (2005)Using thematic analysis in psychology (2006)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The global landscape of AI ethics guidelines (2019)A Survey on Bias and Fairness in Machine Learning (2021)On the Opportunities and Risks of Foundation Models (2021)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)When data is capital: Datafication, accumulation, and extraction (2019)What Do Platforms Do? Understanding the Gig Economy (2020)
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References

  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy3,071 cited
  • 2018Algorithms of Oppression2,709 cited
  • 2016Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy2,335 cited
  • 2020Data Feminism1,734 cited
  • 2017Gender Stereotypes1,196 cited
  • 2010Is the Knowledge Society Gendered?100 cited

Cited by

  • 2025Algorithmic bias, fairness, and inclusivity: a multilevel framework for justice-oriented AI49 cited

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