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The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice
11 references·1 citing·38 second hop
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice (2023)The Possibility of Fairness: Revisiting t…2022 ACM Conference on Fairness Accountability and Transparency (2022)2022 ACM Conference on Fairne…Retiring Adult: New Datasets for Fair Machine Learning (2021)Retiring Adult: New Datasets …Consumer-lending discrimination in the FinTech Era (2021)Consumer-lending discriminati…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (2020)Proceedings of the 2020 Confe…Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy (2020)Empirical observation of negl…Algorithmic Fairness: Choices, Assumptions, and Definitions (2020)Algorithmic Fairness: Choices…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Inherent Trade-Offs in the Fa…Mapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color (1991)Mapping the Margins: Intersec…The Accuracy of Area Measurement by Point Counting Techniques (1969)The Accuracy of Area Measurem…A Framework for Assurance Audits of Algorithmic Systems (2024)A Framework for Assurance Aud…Fairness through awareness (2012)Equality of Opportunity in Supervised Learning (2016)Fairness and Abstraction in Sociotechnical Systems (2019)Fintech, regulatory arbitrage, and the rise of shadow banks (2018)The Role of Technology in Mortgage Lending (2019)Fintech and access to finance (2021)Predictably Unequal? The Effects of Machine Learning on Credit Markets (2021)Towards a standard for identifying and managing bias in artificial intelligence (2022)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)A theory of justice original editionHealth Care Disparities (2003)Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods (2023)Fairness in Machine Learning: A Survey (2023)Big Data's Disparate Impact (2014)The Black Box Society (2015)Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation (2022)WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT? (2023)Bias Testing and Mitigation in LLM-based Code Generation (2025)Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Algorithmic fairness in business analytics: Directions for research and practice (2022)Model Multiplicity: Opportunities, Concerns, and Solutions (2022)A translational perspective towards clinical AI fairness (2023)Critical Race Methodology: Counter-Storytelling as an Analytical Framework for Education Research (2002)The Complexity of Intersectionality (2005)Whose culture has capital? A critical race theory discussion of community cultural wealth (2005)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Algorithms at Work: The New Contested Terrain of Control (2019)Human-machine collaboration in managerial decision making (2021)The flaws of policies requiring human oversight of government algorithms (2022)Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review (2023)Broadening the perspective for sustainable artificial intelligence: sustainability criteria and indicators for Artificial Intelligence systems (2024)Generative AI and the politics of visibility (2024)
this work references cited by second hop

References

  • 1991Mapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color29,736 cited
  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2016Inherent Trade-Offs in the Fair Determination of Risk Scores942 cited
  • 2020Algorithmic Fairness: Choices, Assumptions, and Definitions687 cited
  • 2021Consumer-lending discrimination in the FinTech Era655 cited
  • 2020Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency475 cited
  • 20222022 ACM Conference on Fairness Accountability and Transparency146 cited
  • 2020Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy97 cited
  • 2021Retiring Adult: New Datasets for Fair Machine Learning93 cited
  • 1969The Accuracy of Area Measurement by Point Counting Techniques46 cited

Cited by

  • 2024A Framework for Assurance Audits of Algorithmic Systems16 cited

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