From Soft Classifiers to Hard Decisions: How fair can we be?

3 October 2018

Papers citing "From Soft Classifiers to Hard Decisions: How fair can we be?"

9 / 9 papers shown

Title
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting P. Sattigeri S. Ghosh Inkit Padhi Pierre Dognin Kush R. Varshney FaML 27 28 0 13 Dec 2022
On the Fairness of Machine-Assisted Human Decisions Talia B. Gillis Bryce Mclaughlin Jann Spiess FaML 29 16 0 28 Oct 2021
FairCal: Fairness Calibration for Face Verification Tiago Salvador Stephanie Cairns Vikram S. Voleti Noah Marshall Adam M. Oberman FaML 30 19 0 07 Jun 2021
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence Shakir Mohamed Marie-Therese Png William S. Isaac 33 395 0 08 Jul 2020
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy Bashir Rastegarpanah M. Crovella Krishna P. Gummadi FaML 21 8 0 19 May 2020
Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness Samuel Yeom Matt Fredrikson AAML 21 26 0 18 Feb 2020
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions Hao Wang Berk Ustun Flavio du Pin Calmon FaML 36 83 0 29 Jan 2019
Bias Mitigation Post-processing for Individual and Group Fairness P. Lohia Karthikeyan N. Ramamurthy M. Bhide Diptikalyan Saha Kush R. Varshney Ruchir Puri FaML 13 155 0 14 Dec 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016