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D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias
16 references·2 citing·39 second hop
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References

  • 1988Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research15,045 cited
  • 2002Developing and Validating Trust Measures for e-Commerce: An Integrative Typology5,540 cited
  • 2011Data preprocessing techniques for classification without discrimination1,304 cited
  • 1998Initial Trust Formation in New Organizational Relationships1,295 cited
  • 2016Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them1,225 cited
  • 2013Learning Fair Representations1,126 cited
  • 2017Counterfactual Fairness995 cited
  • 2016Inherent Trade-Offs in the Fair Determination of Risk Scores942 cited
  • 1975Sex Bias in Graduate Admissions: Data from Berkeley659 cited
  • 2018AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias437 cited
  • 2009Classifying without discriminating403 cited
  • 2021Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI334 cited
  • 2012A Methodology for Direct and Indirect Discrimination Prevention in Data Mining308 cited
  • 2020Fairness in Machine Learning299 cited
  • 2019Path-Specific Counterfactual Fairness

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246 cited
  • 2019FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning186 cited
  • Cited by

    • 2024Bias Mitigation in Primary Health Care Artificial Intelligence Models: Scoping Review37 cited
    • 2023“It’s Everybody’s Role to Speak Up... But Not Everyone Will”: Understanding AI Professionals’ Perceptions of Accountability for AI Bias Mitigation20 cited