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Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for
  Introduced Unfairness

Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness

22 February 2022
Carolyn Ashurst
Ryan Carey
Silvia Chiappa
Tom Everitt
    FaML
ArXivPDFHTML

Papers citing "Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness"

5 / 5 papers shown
Title
On Imperfect Recall in Multi-Agent Influence Diagrams
On Imperfect Recall in Multi-Agent Influence Diagrams
James Fox
Matt MacDermott
Lewis Hammond
Paul Harrenstein
Alessandro Abate
Michael Wooldridge
24
3
0
11 Jul 2023
Unfair Utilities and First Steps Towards Improving Them
Unfair Utilities and First Steps Towards Improving Them
Frederik Hytting Jorgensen
S. Weichwald
J. Peters
FaML
61
0
0
01 Jun 2023
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
A Complete Criterion for Value of Information in Soluble Influence
  Diagrams
A Complete Criterion for Value of Information in Soluble Influence Diagrams
Chris van Merwijk
Ryan Carey
Tom Everitt
24
5
0
23 Feb 2022
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
243
488
0
31 Dec 2020
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