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What's Fair is Fair: Detecting and Mitigating Encoded Bias in Multimodal Models of Museum Visitor Attention
16 references·0 citing·33 second hop
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References

  • 2021A Survey on Bias and Fairness in Machine Learning6,499 cited
  • 2019AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias1,581 cited
  • 2011Data preprocessing techniques for classification without discrimination1,344 cited
  • 2013Learning Fair Representations1,155 cited
  • 2018Fairness in Criminal Justice Risk Assessments: The State of the Art1,031 cited
  • 2015A Review and Meta-Analysis of Multimodal Affect Detection Systems631 cited
  • 2019A comparative study of fairness-enhancing interventions in machine learning617 cited
  • 1996Proceedings of the 1996 international conference on Learning sciences434 cited
  • 2018Learning Adversarially Fair and Transferable Representations431 cited
  • 2018A Reductions Approach to Fair Classification423 cited
  • 2020A snapshot of the frontiers of fairness in machine learning362 cited
  • 2022Algorithmic fairness in education301 cited
  • 2019An Empirical Study of Rich Subgroup Fairness for Machine Learning197 cited
  • 2021Multimodal Engagement Analysis From Facial Videos in the Classroom142 cited
  • 2013Classroom Peer Relationships and Behavioral Engagement in Elementary School: The Role of Social Network Equity

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137 cited
  • 2010Futura116 cited
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