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Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees
16 references·4 citing·21 second hop
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees (2018)Classification with Fairness Constraints:…On Fairness and Calibration (2017)On Fairness and CalibrationAlgorithmic Decision Making and the Cost of Fairness (2017)Algorithmic Decision Making a…Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Inherent Trade-Offs in the Fa…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…Precinct or Prejudice? Understanding Racial Disparities in New York City's Stop-and-Frisk Policy (2015)Precinct or Prejudice? Unders…Fairness Constraints: Mechanisms for Fair Classification (2015)Fairness Constraints: Mechani…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Automated Experiments on Ad Privacy Settings (2015)Automated Experiments on Ad P…Learning Fair Representations (2013)Learning Fair RepresentationsFairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fairness-Aware Classifier wit…Fairness through awareness (2012)Fairness through awarenessData preprocessing techniques for classification without discrimination (2011)Data preprocessing techniques…Three naive Bayes approaches for discrimination-free classification (2010)Three naive Bayes approaches …Classifying without discriminating (2009)Classifying without discrimin…Discrimination-aware data mining (2008)Discrimination-aware data min…Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools (2023)Toward Operationalizing Pipel…Fairness without the Sensitive Attribute via Causal Variational Autoencoder (2022)Fairness without the Sensitiv…Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values (2022)Fairness without Imputation: …Artificial mental phenomena (2020)Artificial mental phenomenaUniform Guidelines on Employee Selection Procedures (2007)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)Semantics derived automatically from language corpora contain human-like biases (2017)A Survey on Bias and Fairness in Machine Learning (2021)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Big Data's Disparate Impact (2014)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Fair, Transparent, and Accountable Algorithmic Decision-making Processes (2017)Trustworthy Artificial Intelligence: A Review (2022)Fairness in Machine Learning: A Survey (2023)'It's Reducing a Human Being to a Percentage' (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Counterfactual Fairness (2017)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Fairness definitions explained (2018)Machine behaviour (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)
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References

  • 2012Fairness through awareness3,501 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2011Data preprocessing techniques for classification without discrimination1,304 cited
  • 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
  • 2013Learning Fair Representations1,126 cited
  • 2016Inherent Trade-Offs in the Fair Determination of Risk Scores942 cited
  • 2010Three naive Bayes approaches for discrimination-free classification756 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2008Discrimination-aware data mining676 cited
  • 2015Automated Experiments on Ad Privacy Settings664 cited
  • 2015Fairness Constraints: Mechanisms for Fair Classification644 cited
  • 2016Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment559 cited
  • 2017On Fairness and Calibration509 cited
  • 2009Classifying without discriminating403 cited
  • 2015Precinct or Prejudice? Understanding Racial Disparities in New York City's Stop-and-Frisk Policy

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286 cited

Cited by

  • 2022Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values25 cited
  • 2022Fairness without the Sensitive Attribute via Causal Variational Autoencoder24 cited
  • 2023Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools19 cited
  • 2020Artificial mental phenomena19 cited