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Fair Enough: Searching for Sufficient Measures of Fairness

Fair Enough: Searching for Sufficient Measures of Fairness

25 October 2021
Suvodeep Majumder
Joymallya Chakraborty
Gina R. Bai
Kathryn T. Stolee
Tim Menzies
ArXivPDFHTML

Papers citing "Fair Enough: Searching for Sufficient Measures of Fairness"

11 / 11 papers shown
Title
Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching
Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching
Kewen Peng
Yicheng Yang
Hao Zhuo
32
0
0
23 Apr 2025
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems
Yining She
Sumon Biswas
Christian Kastner
Eunsuk Kang
42
0
0
03 Jan 2025
Data Preparation for Fairness-Performance Trade-Offs: A
  Practitioner-Friendly Alternative?
Data Preparation for Fairness-Performance Trade-Offs: A Practitioner-Friendly Alternative?
Gianmario Voria
Rebecca Di Matteo
Giammaria Giordano
Gemma Catolino
Fabio Palomba
74
0
0
20 Dec 2024
From Expectation to Habit: Why Do Software Practitioners Adopt Fairness
  Toolkits?
From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits?
Gianmario Voria
Stefano Lambiase
Maria Concetta Schiavone
Gemma Catolino
Fabio Palomba
94
1
0
18 Dec 2024
Fairness-aware Multiobjective Evolutionary Learning
Fairness-aware Multiobjective Evolutionary Learning
Qingquan Zhang
Jialin Liu
Xin Yao
33
1
0
27 Sep 2024
Is it Still Fair? A Comparative Evaluation of Fairness Algorithms
  through the Lens of Covariate Drift
Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift
Oscar Blessed Deho
Michael Bewong
Selasi Kwashie
Jiuyong Li
Jixue Liu
Lin Liu
Srecko Joksimovic
FaML
24
0
0
19 Sep 2024
Navigating Fairness: Practitioners' Understanding, Challenges, and
  Strategies in AI/ML Development
Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development
Aastha Pant
Rashina Hoda
C. Tantithamthavorn
Burak Turhan
30
1
0
21 Mar 2024
FRAPPE: A Group Fairness Framework for Post-Processing Everything
FRAPPE: A Group Fairness Framework for Post-Processing Everything
Alexandru Tifrea
Preethi Lahoti
Ben Packer
Yoni Halpern
Ahmad Beirami
Flavien Prost
47
6
0
05 Dec 2023
Fair Models in Credit: Intersectional Discrimination and the
  Amplification of Inequity
Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity
S. Kim
Stefan Lessmann
G. Andreeva
Michael Rovatsos
FaML
24
4
0
01 Aug 2023
Causality-Aided Trade-off Analysis for Machine Learning Fairness
Causality-Aided Trade-off Analysis for Machine Learning Fairness
Zhenlan Ji
Pingchuan Ma
Shuai Wang
Yanhui Li
FaML
31
7
0
22 May 2023
Through the Data Management Lens: Experimental Analysis and Evaluation
  of Fair Classification
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification
Maliha Tashfia Islam
Anna Fariha
A. Meliou
Babak Salimi
FaML
28
24
0
18 Jan 2021
1