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Accurate Fairness: Improving Individual Fairness without Trading
  Accuracy

Accurate Fairness: Improving Individual Fairness without Trading Accuracy

18 May 2022
Xuran Li
Peng Wu
Jing Su
    FaML
ArXivPDFHTML

Papers citing "Accurate Fairness: Improving Individual Fairness without Trading Accuracy"

11 / 11 papers shown
Title
Climate And Resource Awareness is Imperative to Achieving Sustainable AI (and Preventing a Global AI Arms Race)
Climate And Resource Awareness is Imperative to Achieving Sustainable AI (and Preventing a Global AI Arms Race)
Pedram Bakhtiarifard
Pınar Tözün
Christian Igel
Raghavendra Selvan
40
0
0
27 Feb 2025
From Deception to Perception: The Surprising Benefits of Deepfakes for Detecting, Measuring, and Mitigating Bias
From Deception to Perception: The Surprising Benefits of Deepfakes for Detecting, Measuring, and Mitigating Bias
Yizhi Liu
Balaji Padmanabhan
Siva Viswanathan
40
0
0
16 Feb 2025
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning
Caleb J. S. Barr
Olivia Erdelyi
Paul D. Docherty
Randolph C. Grace
FaML
63
0
0
10 Nov 2024
Specification Overfitting in Artificial Intelligence
Specification Overfitting in Artificial Intelligence
Benjamin Roth
Pedro Henrique Luz de Araujo
Yuxi Xia
Saskia Kaltenbrunner
Christoph Korab
56
0
0
13 Mar 2024
VTruST: Controllable value function based subset selection for
  Data-Centric Trustworthy AI
VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI
Soumili Das
Shubhadip Nag
Shreyyash Sharma
Suparna Bhattacharya
Sourangshu Bhattacharya
19
0
0
08 Mar 2024
Survey on AI Ethics: A Socio-technical Perspective
Survey on AI Ethics: A Socio-technical Perspective
Dave Mbiazi
Meghana Bhange
Maryam Babaei
Ivaxi Sheth
Patrik Joslin Kenfack
15
4
0
28 Nov 2023
Target specification bias, counterfactual prediction, and algorithmic
  fairness in healthcare
Target specification bias, counterfactual prediction, and algorithmic fairness in healthcare
Eran Tal
CML
OOD
22
9
0
03 Aug 2023
RobustFair: Adversarial Evaluation through Fairness Confusion Directed
  Gradient Search
RobustFair: Adversarial Evaluation through Fairness Confusion Directed Gradient Search
Xuran Li
Peng Wu
Kaixiang Dong
Zhen Zhang
Yanting Chen
AAML
19
0
0
18 May 2023
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaML
AI4CE
31
159
0
14 Jul 2022
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
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
185
2,082
0
24 Oct 2016
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