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Dirty Data Labeled Dirt Cheap: Epistemic Injustice in Machine Learning Systems
16 references·1 citing·40 second hop
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References

  • 2007Epistemic Injustice9,119 cited
  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor3,279 cited
  • 2014Big Data's Disparate Impact3,046 cited
  • 2013Private traits and attributes are predictable from digital records of human behavior2,827 cited
  • 2015Privacy and human behavior in the age of information1,877 cited
  • 2019Fairness and Abstraction in Sociotechnical Systems1,621 cited
  • 2019Review of “Race After Technology: Abolitionist Tools for the New Jim Code”1,474 cited
  • 1996Bias in computer systems1,203 cited
  • 2017The Routledge Handbook of Epistemic Injustice1,194 cited
  • 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor1,167 cited
  • 2020Language (Technology) is Power: A Critical Survey of “Bias” in NLP1,044 cited
  • 2020In AI we trust? Perceptions about automated decision-making by artificial intelligence1,036 cited
  • 2005“Ideal Theory” as Ideology982 cited
  • 2007The Wealth of Networks: How Social Production Transforms Markets and Freedom922 cited

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  • 2017Psychological targeting as an effective approach to digital mass persuasion892 cited
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    • 2025AI’s Epistemic Harm: Reinforcement Learning, Collective Bias, and the New AI Culture War26 cited