Fair enough: Improving fairness in budget-constrained decision making using confidence thresholds

© 2020 for this paper by its authors. Increasing concern about discrimination and bias in datadriven decision making systems has led to a growth in academic and popular interest in algorithmic fairness. Prior work on fairness in machine learning has focused primarily on the setting in which all the...

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Bibliographic Details
Main Authors: Bakker, M (Author), Valdés, HR (Author), Patrick Tu, D (Author), Gummadi, KP (Author), Varshney, KR (Author), Weller, A (Author), Pentland, AS (Author)
Format: Article
Language:English
Published: 2021-11-02T13:07:41Z.
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