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Two Simple Ways to Learn Individual Fairness Metrics from Data

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References

1998Measuring individual differences in implicit cognition: The implicit association test.8,274 cited
2004Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination4,498 cited
2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
2002Harvesting implicit group attitudes and beliefs from a demonstration web site.1,319 cited
2013Learning Fair Representations1,126 cited
2002Math = male, me = female, therefore math ≠ me.971 cited
2018Learning Adversarially Fair and Transferable Representations387 cited
2023Inherent Tradeoffs in the Fair Determination of Risk Scores309 cited
2016On the (im)possibility of fairness247 cited
2019Counterfactual Fairness in Text Classification through Robustness200 cited
2019iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making162 cited
2018Understanding the Origins of Bias in Word Embeddings119 cited
2019Attenuating Bias in Word Vectors99 cited
2018Fairness Through Computationally-Bounded Awareness

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89 cited

2018Online Learning with an Unknown Fairness Metric73 cited

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2020Implicit Diversity in Image Summarization26 cited
2022FFTree: A flexible tree to handle multiple fairness criteria17 cited