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Tackling Algorithmic Disability Discrimination in the Hiring Process: An Ethical, Legal and Technical Analysis
16 references·5 citing·38 second hop
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References

  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor3,279 cited
  • 2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy3,071 cited
  • 2014Big Data's Disparate Impact3,046 cited
  • 2019Fairness and Abstraction in Sociotechnical Systems1,621 cited
  • 2017Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation1,305 cited
  • 2022Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women *1,165 cited
  • 2020Artificial Intelligence, Values, and Alignment885 cited
  • 2021Demystifying the Draft EU Artificial Intelligence Act — Analysing the good, the bad, and the unclear elements of the proposed approach802 cited
  • 2008Discrimination-aware data mining676 cited
  • 2017Meaningful information and the right to explanation513 cited
  • 2016Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation361 cited
  • 2018Teaching fairness to artificial intelligence: Existing and novel strategies against algorithmic discrimination under EU law317 cited

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  • 2020On the apparent conflict between individual and group fairness312 cited
  • 2021Bias and Discrimination in AI: A Cross-Disciplinary Perspective307 cited
  • Cited by

    • 2024Inherent Limitations of AI Fairness37 cited
    • 2025On the present-future impact of AI technologies on personnel selection and the exponential increase in meta-algorithmic judgments18 cited
    • 2024Lazy Data Practices Harm Fairness Research12 cited
    • 2025AI and Accessibility: Breaking Barriers for People with Disabilities8 cited
    • 2023Creating Accessibility 2.0 with Artificial Intelligence8 cited