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Preserving the Fairness Guarantees of Classifiers in Changing Environments: A Survey
16 references·0 citing·27 second hop
Preserving the Fairness Guarantees of Classifiers in Changing Environments: A Survey (2023)Preserving the Fairness Guarantees of Cla…Algorithmic fairness in artificial intelligence for medicine and healthcare (2023)Algorithmic fairness in artif…Predictably Unequal? The Effects of Machine Learning on Credit Markets (2021)Predictably Unequal? The Effe…AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)AI Fairness 360: An extensibl…Fairness definitions explained (2018)Fairness definitions explainedFairness Beyond Disparate Treatment & Disparate Impact (2017)Fairness Beyond Disparate Tre…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Algorithmic Decision Making and the Cost of Fairness (2017)Algorithmic Decision Making a…Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Man is to Computer Programmer…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Automated Experiments on Ad Privacy Settings (2015)Automated Experiments on Ad P…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 …Consumer credit-risk models via machine-learning algorithms (2010)Consumer credit-risk models v…Justice as Fairness (1958)Justice as FairnessFairness-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)A Survey on Bias and Fairness in Machine Learning (2021)Justice as Fairness: A Restatement (2002)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Discrimination-aware data mining (2008)Classifying without discriminating (2009)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Measuring individual differences in implicit cognition: The implicit association test. (1998)Big Data's Disparate Impact (2014)The global landscape of AI ethics guidelines (2019)On the Opportunities and Risks of Foundation Models (2021)Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)The Economics of Discrimination. (1972)Machine behaviour (2019)On Economic Inequality (1973)Why the “Haves” Come Out Ahead: Speculations on the Limits of Legal Change (1974)Defining equity in health (2003)Model Cards for Model Reporting (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Algorithmic Bias in Education (2021)Addressing bias in big data and AI for health care: A call for open science (2021)
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References

  • 1958Justice as Fairness5,867 cited
  • 2012Fairness through awareness3,545 cited
  • 2016Equality of Opportunity in Supervised Learning2,733 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,270 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,853 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2019AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias1,581 cited
  • 2011Data preprocessing techniques for classification without discrimination1,344 cited
  • 2017Algorithmic Decision Making and the Cost of Fairness1,170 cited
  • 2018Fairness definitions explained1,133 cited
  • 2017Fairness Beyond Disparate Treatment & Disparate Impact988 cited
  • 2015Automated Experiments on Ad Privacy Settings870 cited
  • 2010Consumer credit-risk models via machine-learning algorithms861 cited
  • 2023Algorithmic fairness in artificial intelligence for medicine and healthcare858 cited
  • 2021Predictably Unequal? The Effects of Machine Learning on Credit Markets824 cited

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2010
Three naive Bayes approaches for discrimination-free classification
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