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Representation in AI Evaluations
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(2016)Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics [1989] (2018)Predatory Value (2018)Doing Justice to Intersectionality in Research (2019)Bias in computer systems (1996)Stereotype Threat and Women's Math Performance (1999)Gender and the Career Choice Process: The Role of Biased Self‐Assessments (2001)Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (2019)Ethics and discrimination in artificial intelligence-enabled recruitment practices (2023)The Social Construction of Facts and Artefacts: or How the Sociology of Science and the Sociology of Technology might Benefit Each Other (1984)Science in action : how to follow scientists and engineers through society (1987)Science in Action: How to Follow Scientists and Engineers through Society (1988)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)On the Opportunities and Risks of Foundation Models (2021)Accountability in algorithmic decision making (2016)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Legal and human rights issues of AI: Gaps, challenges and vulnerabilities (2020)Roles for computing in social change (2020)Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda (2022)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)Equality of Opportunity in Supervised Learning (2016)Demographic Bias in Biometrics: A Survey on an Emerging Challenge (2020)Fairness in Deep Learning: A Computational Perspective (2020)Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation (2020)Black Feminist Thought: Knowledge, Consciousness, and the Politics of Empowerment. (1992)Unsettling race and language: Toward a raciolinguistic perspective (2017)Towards a standard for identifying and managing bias in artificial intelligence (2022)Bias and Fairness in Large Language Models: A Survey (2024)A General Inductive Approach for Analyzing Qualitative Evaluation Data (2006)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)Data and its (dis)contents: A survey of dataset development and use in machine learning research (2020)Advances, challenges and opportunities in creating data for trustworthy AI (2022)Big Data's Disparate Impact (2014)Humans inherit artificial intelligence biases (2023)Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (2023)Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020)Ethics of AI in Education: Towards a Community-Wide Framework (2021)
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References

  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2019Fairness and Abstraction in Sociotechnical Systems1,621 cited
  • 2022Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women *1,165 cited
  • 2020Language (Technology) is Power: A Critical Survey of “Bias” in NLP1,044 cited
  • 2021“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI774 cited
  • 2019Actionable Auditing650 cited
  • 2021A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle573 cited
  • 2015Unequal Representation and Gender Stereotypes in Image Search Results for Occupations509 cited
  • 2020“I Would Rather be a Cyborg than a Goddess”407 cited
  • 2019Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations355 cited
  • 2022Power to the People? Opportunities and Challenges for Participatory AI330 cited
  • 2022The Values Encoded in Machine Learning Research316 cited
  • 2020Towards a critical race methodology in algorithmic fairness295 cited
  • 2015The Oxford Handbook of Value Theory279 cited
  • 2021Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure

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279 cited
  • 2021Excavating AI: the politics of images in machine learning training sets279 cited
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