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Explanation-guided fairness testing through genetic algorithm
5 references·1 citing·23 second hop
Explanation-guided fairness testing through genetic algorithm (2022)Explanation-guided fairness testing throu…White-box fairness testing through adversarial sampling (2020)White-box fairness testing th…An Intersectional Definition of Fairness (2020)An Intersectional Definition …Software fairness (2018)Software fairnessAutomated directed fairness testing (2018)Automated directed fairness t…FairTest: Discovering Unwarranted Associations in Data-Driven Applications (2017)FairTest: Discovering Unwarra…Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing (2023)Latent Imitator: Generating N…Fairness through awareness (2012)Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Certifying and Removing Disparate Impact (2015)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)Big Data's Disparate Impact (2014)Semantics derived automatically from language corpora contain human-like biases (2017)Managing bias and unfairness in data for decision support: a survey of machine learning and data engineering approaches to identify and mitigate bias and unfairness within data management and analytics systems (2021)Thirteen Ways to Look at the Correlation Coefficient (1988)The Black Box Society (2015)Ethical Considerations in AI-Based Recruitment (2019)Interventional Fairness (2019)Fairway: a way to build fair ML software (2020)Black Feminist Thought: Knowledge, Consciousness, and the Politics of Empowerment. (1992)Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics (1998)Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics [1989] (2018)Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches (2022)Fairness, AI & recruitment (2024)Towards algorithm auditing: managing legal, ethical and technological risks of AI, ML and associated algorithms (2024)Fairea: a model behaviour mutation approach to benchmarking bias mitigation methods (2021)NeuronFair (2022)Faire: Repairing Fairness of Neural Networks via Neuron Condition Synthesis (2023)GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models (2024)
this work references cited by second hop

References

  • 2018Automated directed fairness testing200 cited
  • 2020An Intersectional Definition of Fairness200 cited
  • 2017FairTest: Discovering Unwarranted Associations in Data-Driven Applications171 cited
  • 2018Software fairness138 cited
  • 2020White-box fairness testing through adversarial sampling138 cited

Cited by

  • 2023Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing35 cited

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