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Software fairness

16 references·16 citing·33 second hopsampled

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References

2012Fairness through awareness3,501 cited
2014Big Data's Disparate Impact3,046 cited
2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
2013Learning Fair Representations1,126 cited
2017Counterfactual Fairness995 cited
2010Three naive Bayes approaches for discrimination-free classification756 cited
2013Discrimination in online ad delivery751 cited
2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
2015Automated Experiments on Ad Privacy Settings664 cited
2015Unequal Representation and Gender Stereotypes in Image Search Results for Occupations509 cited
2009Classifying without discriminating403 cited
2017Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness403 cited
2018A Reductions Approach to Fair Classification364 cited
2010Discrimination Aware Decision Tree Learning303 cited
2012Decision Theory for Discrimination-Aware Classification300 cited
2016On the (im)possibility of fairness247 cited

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Cited by

2021Fair preprocessing: towards understanding compositional fairness of data transformers in machine learning pipeline107 cited
2023A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers105 cited
2021Managing 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 systems97 cited
2022From AI ethics principles to data science practice: a reflection and a gap analysis based on recent frameworks and practical experience88 cited
2021Fairea: a model behaviour mutation approach to benchmarking bias mitigation methods81 cited
2021"Ignorance and Prejudice" in Software Fairness80 cited
2021Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline75 cited
2022NeuronFair63 cited
2022Training data debugging for the fairness of machine learning software60 cited
2023Fairness-aware machine learning engineering: how far are we?60 cited
2022Fairness-aware configuration of machine learning libraries54 cited
2022Explanation-guided fairness testing through genetic algorithm51 cited
2024How do Hugging Face Models Document Datasets, Bias, and Licenses? An Empirical Study38 cited
2019Think Your Artificial Intelligence Software Is Fair? Think Again37 cited
2023Towards Understanding Fairness and its Composition in Ensemble Machine Learning36 cited
2022A Combinatorial Approach to Fairness Testing of Machine Learning Models27 cited