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Probably Approximately Metric-Fair Learning
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Probably Approximately Metric-Fair Learning (2018)Probably Approximately Metric-Fair Learni…SoK: Machine Learning Governance (2021)SoK: Machine Learning Governa…A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle (2021)A Framework for Understanding…Review of Mathematical frameworks for Fairness in Machine Learning (2020)Review of Mathematical framew…Moment Multicalibration for Uncertainty Estimation (2020)Moment Multicalibration for U…Metric-Free Individual Fairness in Online Learning (2020)Metric-Free Individual Fairne…Algorithmic Fairness: Choices, Assumptions, and Definitions (2020)Algorithmic Fairness: Choices…A snapshot of the frontiers of fairness in machine learning (2020)A snapshot of the frontiers o…Learning from Outcomes: Evidence-Based Rankings (2019)Learning from Outcomes: Evide…The role of stereotyping in system‐justification and the production of false consciousness (1994)Fairness through awareness (2012)Equality of Opportunity in Supervised Learning (2016)Fairness in Search Systems (2024)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Big Data's Disparate Impact (2014)A Survey on Bias and Fairness in Machine Learning (2021)What's Fair is Fair: Detecting and Mitigating Encoded Bias in Multimodal Models of Museum Visitor Attention (2021)Achieving fairness with a simple ridge penalty (2022)Tackling Algorithmic Bias in Neural-Network Classifiers using Wasserstein-2 Regularization (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 data-driven innovation in the age of AI (2021)Ethical Machine Learning in Healthcare (2021)On the Opportunities and Risks of Foundation Models (2021)Online convex programming and generalized infinitesimal gradient ascent (2003)Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness (2017)A theory of justice original edition (1971)Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics (1998)Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics [1989] (2018)Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020)Algorithmic Bias in Education (2021)Model Cards for Model Reporting (2019)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness in Machine Learning: A Survey (2023)Bias and Fairness in Large Language Models: A Survey (2024)
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  • 2021A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle893 cited
  • 2020Algorithmic Fairness: Choices, Assumptions, and Definitions738 cited
  • 2020A snapshot of the frontiers of fairness in machine learning362 cited
  • 2020Review of Mathematical frameworks for Fairness in Machine Learning17 cited
  • 2019Learning from Outcomes: Evidence-Based Rankings13 cited
  • 2021SoK: Machine Learning Governance13 cited
  • 2020Metric-Free Individual Fairness in Online Learning12 cited
  • 2020Moment Multicalibration for Uncertainty Estimation12 cited

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