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FlipTest
15 references·8 citing·26 second hop
FlipTest (2020)FlipTestAn Empirical Study of Rich Subgroup Fairness for Machine Learning (2019)An Empirical Study of Rich Su…Multicalibration: Calibration for the (Computationally-Identifiable) Masses (2018)Multicalibration: Calibration…AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias (2018)AI Fairness 360: An Extensibl…Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness (2017)Preventing Fairness Gerrymand…Learning Non-Discriminatory Predictors (2017)Learning Non-Discriminatory P…FairTest: Discovering Unwarranted Associations in Data-Driven Applications (2017)FairTest: Discovering Unwarra…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Inherent Trade-Offs in the Fa…Fairness in Learning: Classic and Contextual Bandits (2016)Fairness in Learning: Classic…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Fairness Constraints: Mechanisms for Fair Classification (2015)Fairness Constraints: Mechani…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Big Data's Disparate Impact (2014)Big Data's Disparate ImpactLearning Fair Representations (2013)Learning Fair RepresentationsFairness through awareness (2012)Fairness through awarenessSpecification overfitting in artificial intelligence (2024)Specification overfitting in …From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing (2024)From Transparency to Accounta…FairBalance: How to Achieve Equalized Odds With Data Pre-Processing (2024)FairBalance: How to Achieve E…Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing (2023)Latent Imitator: Generating N…Algorithmic Fairness (2023)Algorithmic FairnessIntegrating Behavioral, Economic, and Technical Insights to Understand and Address Algorithmic Bias: A Human-Centric Perspective (2022)Integrating Behavioral, Econo…A Survey of Bias in Machine Learning Through the Prism of Statistical Parity (2021)A Survey of Bias in Machine L…A Statistical Test for Probabilistic Fairness (2021)A Statistical Test for Probab…Uniform 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)Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment (2016)Learning Adversarially Fair and Transferable Representations (2018)Can AI Help Reduce Disparities in General Medical and Mental Health Care? (2019)Introduction to Multi-Armed Bandits (2019)Mitigating Unwanted Biases with Adversarial Learning (2018)FactSheets: Increasing trust in AI services through supplier's declarations of conformity (2019)A High-Level Overview of AI Ethics (2020)Algorithmic fairness in education (2022)Algorithmic Decision Making and the Cost of Fairness (2017)Counterfactual Fairness (2017)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Fairness and Abstraction in Sociotechnical Systems (2019)Fairness Beyond Disparate Treatment & Disparate Impact (2017)Algorithmic Fairness: Choices, Assumptions, and Definitions (2020)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)The ethics of algorithms: Mapping the debate (2016)
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References

  • 2012Fairness through awareness3,501 cited
  • 2014Big Data's Disparate Impact3,046 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2013Learning Fair Representations1,126 cited
  • 2016Inherent Trade-Offs in the Fair Determination of Risk Scores942 cited
  • 2015Fairness Constraints: Mechanisms for Fair Classification644 cited
  • 2018AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias437 cited
  • 2017Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness403 cited
  • 2016Fairness in Learning: Classic and Contextual Bandits199 cited
  • 2019An Empirical Study of Rich Subgroup Fairness for Machine Learning197 cited
  • 2017Learning Non-Discriminatory Predictors182 cited
  • 2017FairTest: Discovering Unwarranted Associations in Data-Driven Applications171 cited
  • 2018Multicalibration: Calibration for the (Computationally-Identifiable) Masses101 cited

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Cited by

  • 2021A Survey of Bias in Machine Learning Through the Prism of Statistical Parity49 cited
  • 2023Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing35 cited
  • 2023Algorithmic Fairness28 cited
  • 2021A Statistical Test for Probabilistic Fairness28 cited
  • 2022Integrating Behavioral, Economic, and Technical Insights to Understand and Address Algorithmic Bias: A Human-Centric Perspective26 cited
  • 2024Specification overfitting in artificial intelligence20 cited
  • 2024FairBalance: How to Achieve Equalized Odds With Data Pre-Processing16 cited
  • 2024From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing14 cited