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The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default

The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default

Brent Mittelstadt
Sandra Wachter
Chris Russell
    FaML
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Papers citing "The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default"

3 / 3 papers shown
Title
Transparency and Proportionality in Post-Processing Algorithmic Bias Correction
Transparency and Proportionality in Post-Processing Algorithmic Bias Correction
Juliett Suárez Ferreira
Marija Slavkovik
Jorge Casillas
52
0
0
23 May 2025
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
Charles Jones
Fabio De Sousa Ribeiro
Mélanie Roschewitz
Daniel Coelho De Castro
Ben Glocker
FaML
OOD
CML
198
2
0
05 Oct 2024
Resource-constrained Fairness
Resource-constrained Fairness
Sofie Goethals
Eoin Delaney
Brent Mittelstadt
Christopher Russell
FaML
108
1
0
03 Jun 2024