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Fairness Hacking: The Malicious Practice of Shrouding Unfairness in
  Algorithms

Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms

12 November 2023
Kristof Meding
Thilo Hagendorff
ArXivPDFHTML

Papers citing "Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms"

6 / 6 papers shown
Title
It's complicated. The relationship of algorithmic fairness and non-discrimination regulations in the EU AI Act
It's complicated. The relationship of algorithmic fairness and non-discrimination regulations in the EU AI Act
Kristof Meding
FaML
62
1
0
22 Jan 2025
Fairness Uncertainty Quantification: How certain are you that the model
  is fair?
Fairness Uncertainty Quantification: How certain are you that the model is fair?
Abhishek Roy
P. Mohapatra
14
5
0
27 Apr 2023
Towards the Right Kind of Fairness in AI
Towards the Right Kind of Fairness in AI
Boris Ruf
Marcin Detyniecki
39
25
0
16 Feb 2021
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data
  and Bayesian Inference
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference
Disi Ji
Padhraic Smyth
M. Steyvers
34
44
0
19 Oct 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
192
739
0
13 Dec 2018
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