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Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing
13 references·2 citing·31 second hop
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing (2023)Latent Imitator: Generating Natural Indiv…Explanation-guided fairness testing through genetic algorithm (2022)Explanation-guided fairness t…Ethics of Data and Analytics (2022)Ethics of Data and AnalyticsBias in machine learning software: why? how? what to do? (2021)Bias in machine learning soft…Algorithmic fairness in credit scoring (2021)Algorithmic fairness in credi…White-box fairness testing through adversarial sampling (2020)White-box fairness testing th…FlipTest (2020)FlipTestFairway: a way to build fair ML software (2020)Fairway: a way to build fair …Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Fairness in Criminal Justice …Automated directed fairness testing (2018)Automated directed fairness t…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Big Data's Disparate Impact (2014)Big Data's Disparate ImpactFairness through awareness (2012)Fairness through awareness"General Intelligence" Objectively Determined and Measured. (1961)"General Intelligence" Object…GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models (2024)GenderCARE: A Comprehensive F…Faire: Repairing Fairness of Neural Networks via Neuron Condition Synthesis (2023)Faire: Repairing Fairness of …Uniform Guidelines on Employee Selection Procedures (2007)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (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)Equality of Opportunity in Supervised Learning (2016)Algorithmic Decision Making and the Cost of Fairness (2017)Fairness definitions explained (2018)Algorithmic content moderation: Technical and political challenges in the automation of platform governance (2020)Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fair preprocessing: towards understanding compositional fairness of data transformers in machine learning pipeline (2021)A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers (2023)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Semantics derived automatically from language corpora contain human-like biases (2017)Exploring gender biases in ML and AI academic research through systematic literature review (2022)Three naive Bayes approaches for discrimination-free classification (2010)Data preprocessing techniques for classification without discrimination (2011)k-NN as an implementation of situation testing for discrimination discovery and prevention (2011)AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications (2023)Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey (2023)Fairea: a model behaviour mutation approach to benchmarking bias mitigation methods (2021)NeuronFair (2022)The ethics of algorithms: Mapping the debate (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)BYY harmony learning, independent state space, and generalized APT financial analyses (2001)Multicriteria and Statistical Approach to Support the Outranking Analysis of the OECD Countries (2022)How do we assess the trustworthiness of AI? Introducing the trustworthiness assessment model (TrAM) (2025)Artificial intelligence and people management: A critical assessment through the ethical lens (2022)How can we manage biases in artificial intelligence systems – A systematic literature review (2023)A Systematic Review on Fostering Appropriate Trust in Human-AI Interaction: Trends, Opportunities and Challenges (2024)
this work references cited by second hop

References

  • 2012Fairness through awareness3,501 cited
  • 2014Big Data's Disparate Impact3,046 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2018Fairness in Criminal Justice Risk Assessments: The State of the Art986 cited
  • 2022Ethics of Data and Analytics248 cited
  • 2021Bias in machine learning software: why? how? what to do?224 cited
  • 2018Automated directed fairness testing200 cited
  • 2020Fairway: a way to build fair ML software140 cited
  • 2020White-box fairness testing through adversarial sampling138 cited
  • 1961"General Intelligence" Objectively Determined and Measured.136 cited
  • 2020FlipTest61 cited
  • 2022Explanation-guided fairness testing through genetic algorithm51 cited
  • 2021Algorithmic fairness in credit scoring43 cited

Cited by

  • 2023Faire: Repairing Fairness of Neural Networks via Neuron Condition Synthesis17 cited
  • 2024GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models14 cited

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