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Impact of Model Ensemble On the Fairness of Classifiers in Machine Learning
11 references·2 citing·36 second hop
Impact of Model Ensemble On the Fairness of Classifiers in Machine Learning (2021)Impact of Model Ensemble On the Fairness …On the fairness of generative adversarial networks (GANs) (2022)On the fairness of generative…Improving Prediction Fairness via Model Ensemble (2019)Improving Prediction Fairness…Why Is My Classifier Discriminatory? (2018)Why Is My Classifier Discrimi…Why Is My Classifier Discriminatory (2018)Why Is My Classifier Discrimi…On Fairness, Diversity and Randomness in Algorithmic Decision Making (2017)On Fairness, Diversity and Ra…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Counterfactual Fairness (2017)Counterfactual FairnessAn impact assessment of machine learning risk forecasts on parole board decisions and recidivism (2017)An impact assessment of machi…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Fairness through awareness (2012)Fairness through awarenessk-NN as an implementation of situation testing for discrimination discovery and prevention (2011)k-NN as an implementation of …FairBalance: How to Achieve Equalized Odds With Data Pre-Processing (2024)FairBalance: How to Achieve E…Enforcing fairness using ensemble of diverse Pareto-optimal models (2023)Enforcing fairness using ense…The Economics of Discrimination (1971)The Economics of Discrimination. (1972)Three naive Bayes approaches for discrimination-free classification (2010)Data preprocessing techniques for classification without discrimination (2011)Learning Fair Representations (2013)Certifying and Removing Disparate Impact (2015)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)Semantics derived automatically from language corpora contain human-like biases (2017)Discrimination-aware data mining (2008)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)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)Against Prediction: Profiling, Policing, and Punishing in an Actuarial Age (2007)Do Harsher Prison Conditions Reduce Recidivism? A Discontinuity-based Approach (2007)Handbook of Quantitative Criminology (2009)Human Decisions and Machine Predictions (2017)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies (2021)Structural Equations with Latent Variables. (1991)Testing Structural Equation Models. (1995)Fairness definitions explained (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Learning Adversarially Fair and Transferable Representations (2018)A Survey on Bias and Fairness in Machine Learning (2021)Fair Enough: Improving Fairness in Budget-Constrained Decision Making Using Confidence Thresholds. (2020)An empirical characterization of fair machine learning for clinical risk prediction (2020)Addressing algorithmic bias and the perpetuation of health inequities: An AI bias aware framework (2022)Algorithmic fairness in computational medicine (2022)Improving Fairness in Machine Learning Systems (2019)A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle (2021)Algorithmic fairness in artificial intelligence for medicine and healthcare (2023)
this work references cited by second hop

References

  • 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
  • 2017Counterfactual Fairness1,096 cited
  • 2011k-NN as an implementation of situation testing for discrimination discovery and prevention263 cited
  • 2018Why Is My Classifier Discriminatory?186 cited
  • 2017An impact assessment of machine learning risk forecasts on parole board decisions and recidivism169 cited
  • 2018Why Is My Classifier Discriminatory74 cited
  • 2017On Fairness, Diversity and Randomness in Algorithmic Decision Making26 cited
  • 2022On the fairness of generative adversarial networks (GANs)21 cited
  • 2019Improving Prediction Fairness via Model Ensemble21 cited

Cited by

  • 2024FairBalance: How to Achieve Equalized Odds With Data Pre-Processing16 cited
  • 2023Enforcing fairness using ensemble of diverse Pareto-optimal models11 cited

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