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A LEGAL FRAMEWORK FOR ARTIFICIAL INTELLIGENCE FAIRNESS REPORTING
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References

  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2014Big Data's Disparate Impact3,046 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 1957A Synopsis of Linguistic Theory, 1930-19551,630 cited
  • 2016Inherent Trade-Offs in the Fair Determination of Risk Scores942 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2022A Review on Fairness in Machine Learning596 cited
  • 2011Fairness-aware Learning through Regularization Approach375 cited
  • 2018Algorithmic Fairness278 cited
  • 2019Algorithmic Impact Assessments under the GDPR: Producing Multi-layered Explanations196 cited
  • 2012Discrimination in Grading160 cited
  • 2019Big Data and Discrimination122 cited
  • 2022Wrongfully Accused by an Algorithm *110 cited
  • 2021Challenging Biased Hiring Algorithms100 cited
  • 2021We, the Robots?84 cited
  • 2021Through a Glass, Darkly: Artificial Intelligence and the Problem of Opacity

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  • 2025AI legitimacy in energy: A model to improve corporate narratives on sustainability and responsibility12 cited