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Female perspectives on algorithmic bias: implications for AI researchers and practitioners
16 references·0 citing·49 second hop
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References

  • 2018Transforming Our World: The 2030 Agenda for Sustainable Development19,350 cited
  • 2009Users of the world, unite! The challenges and opportunities of Social Media17,866 cited
  • 2002Role congruity theory of prejudice toward female leaders.7,296 cited
  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2014Beyond the hype: Big data concepts, methods, and analytics4,222 cited
  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms3,179 cited
  • 1999Linking Entrepreneurship and Economic Growth2,220 cited
  • 2010Making Things Happen: A Model of Proactive Motivation2,045 cited
  • 2020The Ethics of AI Ethics: An Evaluation of Guidelines1,900 cited
  • 2020Data Feminism1,734 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,615 cited
  • 2017Stern Review on the Economics of Climate Change (2006)1,380 cited
  • 2020Bias in data‐driven artificial intelligence systems—An introductory survey1,040 cited
  • 2013Global Gender Gap Report 20111,019 cited

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  • 2021Algorithmic bias: review, synthesis, and future research directions767 cited
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