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FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness

FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness

22 April 2025
Tina Behzad
Mithilesh Singh
Anthony J. Ripa
Klaus Mueller
ArXiv (abs)PDFHTML

Papers citing "FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness"

12 / 12 papers shown
Title
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling
  Algorithmic Bias
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias
Bhavya Ghai
Klaus Mueller
77
40
0
10 Aug 2022
Fairness in Machine Learning: A Survey
Fairness in Machine Learning: A Survey
Simon Caton
C. Haas
FaML
106
650
0
04 Oct 2020
FairSight: Visual Analytics for Fairness in Decision Making
FairSight: Visual Analytics for Fairness in Decision Making
Yongsu Ahn
Y. Lin
72
125
0
01 Aug 2019
The What-If Tool: Interactive Probing of Machine Learning Models
The What-If Tool: Interactive Probing of Machine Learning Models
James Wexler
Mahima Pushkarna
Tolga Bolukbasi
Martin Wattenberg
F. Viégas
Jimbo Wilson
VLM
93
495
0
09 Jul 2019
Inherent Tradeoffs in Learning Fair Representations
Inherent Tradeoffs in Learning Fair Representations
Han Zhao
Geoffrey J. Gordon
FaML
70
218
0
19 Jun 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
FaMLHAI
258
773
0
13 Dec 2018
Aequitas: A Bias and Fairness Audit Toolkit
Aequitas: A Bias and Fairness Audit Toolkit
Pedro Saleiro
Benedict Kuester
Loren Hinkson
J. London
Abby Stevens
Ari Anisfeld
Kit T. Rodolfa
Rayid Ghani
120
328
0
14 Nov 2018
A Reductions Approach to Fair Classification
A Reductions Approach to Fair Classification
Alekh Agarwal
A. Beygelzimer
Miroslav Dudík
John Langford
Hanna M. Wallach
FaML
230
1,107
0
06 Mar 2018
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
304
2,131
0
24 Oct 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
236
4,341
0
07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores
Inherent Trade-Offs in the Fair Determination of Risk Scores
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
FaML
122
1,783
0
19 Sep 2016
Order-independent constraint-based causal structure learning
Order-independent constraint-based causal structure learning
Diego Colombo
Marloes H. Maathuis
CML
132
607
0
14 Nov 2012
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