Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

A survey on measuring indirect discrimination in machine learning

11 references·16 citing·32 second hop

FromToDepth

this work references cited by second hop

References

2015Certifying and Removing Disparate Impact1,827 cited
2015THE THEORY OF DISCRIMINATION1,804 cited
2013Learning Fair Representations1,126 cited
2010Three naive Bayes approaches for discrimination-free classification756 cited
2008Discrimination-aware data mining676 cited
2006European Union Agency for Fundamental Rights666 cited
2012A Methodology for Direct and Indirect Discrimination Prevention in Data Mining308 cited
2010Discrimination Aware Decision Tree Learning303 cited
2013A multidisciplinary survey on discrimination analysis288 cited
2011k-NN as an implementation of situation testing for discrimination discovery and prevention263 cited
2010Data mining for discrimination discovery167 cited

Cited by

2019Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality87 cited
2019FAHT: An Adaptive Fairness-aware Decision Tree Classifier85 cited
2024Fairness issues, current approaches, and challenges in machine learning models83 cited
2021On the Applicability of Machine Learning Fairness Notions72 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2021

Machine learning fairness notions: Bridging the gap with real-world applications

60 cited

2021Fair Top-k Ranking with multiple protected groups59 cited

2016Quantifying and Reducing Stereotypes in Word Embeddings57 cited

2020Considerations for a More Ethical Approach to Data in AI: On Data Representation and Infrastructure46 cited

2019Fairness in representation: quantifying stereotyping as a representational harm44 cited

2023Learning fair representations via an adversarial framework42 cited

2019Costs and Benefits of Fair Representation Learning41 cited

2023Survey on fairness notions and related tensions38 cited

2018Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems37 cited

2020A semi-automated BPMN-based framework for detecting conflicts between security, data-minimization, and fairness requirements36 cited

2020Fairness warnings and fair-MAML36 cited

2020Fairness-Aware Demand Prediction for New Mobility35 cited