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"Explain it in the Same Way!" -- Model-Agnostic Group Fairness of
  Counterfactual Explanations

"Explain it in the Same Way!" -- Model-Agnostic Group Fairness of Counterfactual Explanations

27 November 2022
André Artelt
Barbara Hammer
    FaML
ArXivPDFHTML

Papers citing ""Explain it in the Same Way!" -- Model-Agnostic Group Fairness of Counterfactual Explanations"

8 / 8 papers shown
Title
ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups
ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups
Jingyu Hu
Jun Hong
Mengnan Du
Weiru Liu
26
0
0
02 Oct 2024
A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual
  Explanations
A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations
André Artelt
Andreas Gregoriades
33
0
0
02 Mar 2024
The Effect of Data Poisoning on Counterfactual Explanations
The Effect of Data Poisoning on Counterfactual Explanations
André Artelt
Shubham Sharma
Freddy Lecue
Barbara Hammer
23
1
0
13 Feb 2024
Fairness in Algorithmic Recourse Through the Lens of Substantive
  Equality of Opportunity
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity
Andrew Bell
João Fonseca
Carlo Abrate
Francesco Bonchi
Julia Stoyanovich
FaML
33
2
0
29 Jan 2024
Robustness Implies Fairness in Causal Algorithmic Recourse
Robustness Implies Fairness in Causal Algorithmic Recourse
A. Ehyaei
Amir-Hossein Karimi
Bernhard Schölkopf
S. Maghsudi
FaML
33
12
0
07 Feb 2023
A Few Good Counterfactuals: Generating Interpretable, Plausible and
  Diverse Counterfactual Explanations
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations
Barry Smyth
Mark T. Keane
CML
37
26
0
22 Jan 2021
On the Fairness of Causal Algorithmic Recourse
On the Fairness of Causal Algorithmic Recourse
Julius von Kügelgen
Amir-Hossein Karimi
Umang Bhatt
Isabel Valera
Adrian Weller
Bernhard Schölkopf
FaML
80
82
0
13 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
323
4,212
0
23 Aug 2019
1