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New Job, New Gender? Measuring the Social Bias in Image Generation Models
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New Job, New Gender? Measuring the Social Bias in Image Generation Models (2024)New Job, New Gender? Measuring the Social…You Keep Using That Word (2021)You Keep Using That WordProceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (2021)Proceedings of the 2021 ACM C…He is very intelligent, she is very beautiful? On Mitigating Social Biases in Language Modelling and Generation (2021)He is very intelligent, she i…Fairness in rankings and recommendations: an overview (2021)Fairness in rankings and reco…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Humor as a window into generative AI bias (2025)Humor as a window into genera…Ageism in the Computer Science University Classroom: A Service Learning Case Study (2025)Ageism in the Computer Scienc…Fairness through awareness (2012)Semantics derived automatically from language corpora contain human-like biases (2017)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Algorithmic Bias in Education (2021)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)A NEW MEASURE OF RANK CORRELATION (1938)Equality of Opportunity in Supervised Learning (2016)Algorithmic fairness datasets: the story so far (2022)Mitigating Bias in Algorithmic Systems—A Fish-eye View (2022)Fairness in Graph Mining: A Survey (2023)Mapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color (1991)Life on the Screen: Identity in the Age of the Internet (1997)Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics (1998)Transcending the “Male Code”: Implicit Masculine Biases in NLP Contexts (2023)Gender Bias in Natural Language Processing and Computer Vision: A Comparative Survey (2024)Science faculty’s subtle gender biases favor male students (2012)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Word embeddings quantify 100 years of gender and ethnic stereotypes (2018)An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models (2023)Mitigating social biases of pre-trained language models via contrastive self-debiasing with double data augmentation (2024)Social norms and the expression and suppression of prejudice: The struggle for internalization. (2002)Handbook of social psychology (2004)An inconvenienced youth? Ageism and its potential intergenerational roots. (2012)From Social to Political Identity: A Critical Examination of Social Identity Theory (2001)Teaching and Learning in the Social Context: A Meta-Analysis of Service Learning's Effects on Academic, Personal, Social, and Citizenship Outcomes (2009)Strangers at the Gate (2015)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)
this work references cited by second hop

References

  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2021Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency541 cited
  • 2021Fairness in rankings and recommendations: an overview140 cited
  • 2021You Keep Using That Word33 cited
  • 2021He is very intelligent, she is very beautiful? On Mitigating Social Biases in Language Modelling and Generation32 cited

Cited by

  • 2025Humor as a window into generative AI bias14 cited
  • 2025Ageism in the Computer Science University Classroom: A Service Learning Case Study0 cited

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