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Dealing with Gender Bias Issues in Data-Algorithmic Processes: A Social-Statistical Perspective
16 references·0 citing·38 second hop
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References

  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2016The ethics of algorithms: Mapping the debate3,541 cited
  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,615 cited
  • 1996Bias in computer systems1,203 cited
  • 2016Thinking critically about and researching algorithms1,200 cited
  • 2022Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women *1,165 cited
  • 2020Bias in data‐driven artificial intelligence systems—An introductory survey1,040 cited
  • 2017Algorithms as culture: Some tactics for the ethnography of algorithmic systems1,010 cited
  • 2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints829 cited
  • 2009Power through the algorithm? Participatory web cultures and the technological unconscious774 cited
  • 2019Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries762 cited
  • 2018Bias on the web430 cited
  • 2019Assessing gender bias in machine translation: a case study with Google Translate

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409 cited
  • 2021The ethics of algorithms: key problems and solutions384 cited
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