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Lazy Data Practices Harm Fairness Research
16 references·0 citing·45 second hop
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References

  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2012CRITICAL QUESTIONS FOR BIG DATA5,449 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2014A data-driven approach to predict the success of bank telemarketing875 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2019A comparative study of fairness-enhancing interventions in machine learning601 cited
  • 2021Persistent Anti-Muslim Bias in Large Language Models476 cited
  • 2016Critical data studies: An introduction467 cited
  • 2018Universal Basic Incomes versus Targeted Transfers: Anti-Poverty Programs in Developing Countries299 cited
  • 1983ASSOCIATION OF SOUTH-EAST ASIAN NATIONS294 cited
  • 2013Stereotypes of Muslims and Support for the War on Terror289 cited
  • 2012Education and Poverty: Confronting the Evidence269 cited
  • 2021BOLD242 cited
  • 2021Re-imagining Algorithmic Fairness in India and Beyond228 cited
  • 2020Ableism, Technoableism, and Future AI201 cited
  • 2019An Empirical Study of Rich Subgroup Fairness for Machine Learning

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