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Fairness-aware Classification: Criterion, Convexity, and Bounds
15 references·1 citing·34 second hop
Fairness-aware Classification: Criterion, Convexity, and Bounds (2018)Fairness-aware Classification: Criterion,…Inherent Tradeoffs in the Fair Determination of Risk Scores (2023)Inherent Tradeoffs in the Fai…Achieving Non-Discrimination in Prediction (2018)Achieving Non-Discrimination …Spectral Algorithms for Computing Fair Support Vector Machines (2017)Spectral Algorithms for Compu…On Fairness and Calibration (2017)On Fairness and CalibrationAvoiding Discrimination through Causal Reasoning (2017)Avoiding Discrimination throu…Achieving Non-Discrimination in Data Release (2017)Achieving Non-Discrimination …A Causal Framework for Discovering and Removing Direct and Indirect Discrimination (2017)A Causal Framework for Discov…Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment (2016)Fairness Beyond Disparate Tre…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…A multidisciplinary survey on discrimination analysis (2013)A multidisciplinary survey on…Handling Conditional Discrimination (2011)Handling Conditional Discrimi…Fairness-aware Learning through Regularization Approach (2011)Fairness-aware Learning throu…Measuring Discrimination in Socially-Sensitive Decision Records (2009)Measuring Discrimination in S…Discrimination-aware data mining (2008)Discrimination-aware data min…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Fairness through awareness (2012)Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Learning Fair Representations (2013)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)Semantics derived automatically from language corpora contain human-like biases (2017)The Economics of Discrimination. (1972)Racial Profiling, Insurance Style: Insurance Redlining and the Uneven Development of Metropolitan Areas (2003)Black Job Applicants and the Hiring Officer's Race (2004)Concrete Problems in AI Safety (2016)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Three naive Bayes approaches for discrimination-free classification (2010)Counterfactual Fairness (2017)The American Psychological Association (1919)Male-Female Wage Differentials in Urban Labor Markets (1973)Stereotype threat and the intellectual test performance of African Americans. (1995)The ethics of algorithms: Mapping the debate (2016)Job Market Signaling (1973)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Power-Law Distributions in Empirical Data (2009)Mitigating Unwanted Biases with Adversarial Learning (2018)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Big Data's Disparate Impact (2014)Model Cards for Model Reporting (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fairness in Machine Learning: Lessons from Political Philosophy (2017)Fairness of Exposure in Rankings (2018)A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle (2021)The Statistical Theory of Racism and Sexism. (1972)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 definitions explained (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)
this work references cited by second hop

References

  • 2016Equality of Opportunity in Supervised Learning2,733 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2008Discrimination-aware data mining688 cited
  • 2017On Fairness and Calibration573 cited
  • 2016Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment559 cited
  • 2017Avoiding Discrimination through Causal Reasoning392 cited
  • 2011Fairness-aware Learning through Regularization Approach375 cited
  • 2023Inherent Tradeoffs in the Fair Determination of Risk Scores347 cited
  • 2013A multidisciplinary survey on discrimination analysis288 cited
  • 2009Measuring Discrimination in Socially-Sensitive Decision Records175 cited
  • 2017A Causal Framework for Discovering and Removing Direct and Indirect Discrimination158 cited
  • 2011Handling Conditional Discrimination125 cited
  • 2017Achieving Non-Discrimination in Data Release62 cited
  • 2018Achieving Non-Discrimination in Prediction25 cited
  • 2017Spectral Algorithms for Computing Fair Support Vector Machines21 cited

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2021
A Survey on Bias and Fairness in Machine Learning
6,499 cited