On Hedden's proof that machine learning fairness metrics are flawed

Inquiry: An Interdisciplinary Journal of Philosophy (forthcoming)
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Abstract

1. Fairness is about the just distribution of society's resources, and in ML, the main resource being distributed is model performance, e.g. the translation quality produced by machine translation...

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Author Profiles

Anders Søgaard
University of Copenhagen
Klemens Kappel
University of Copenhagen
Thor Grünbaum
University of Copenhagen

Citations of this work

New Possibilities for Fair Algorithms.Michael Nielsen & Rush Stewart - 2024 - Philosophy and Technology 37 (4):1-17.

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References found in this work

Are Thought Experiments Just What You Thought?John D. Norton - 1996 - Canadian Journal of Philosophy 26 (3):333 - 366.
The Fairness in Algorithmic Fairness.Sune Holm - 2023 - Res Publica 29 (2):265-281.
Artificial Intelligence in a Structurally Unjust Society.Ting-An Lin & Po-Hsuan Cameron Chen - 2022 - Feminist Philosophy Quarterly 8 (3/4):Article 3.

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