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Disagreement amongst counterfactual explanations: How transparency can be deceptive
25 April 2023
Dieter Brughmans
Lissa Melis
David Martens
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Papers citing
"Disagreement amongst counterfactual explanations: How transparency can be deceptive"
5 / 5 papers shown
On Spectral Properties of Gradient-based Explanation Methods
European Conference on Computer Vision (ECCV), 2025
Amir Mehrpanah
Erik Englesson
Hossein Azizpour
FAtt
143
1
0
14 Aug 2025
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations
Vinitra Swamy
Jibril Frej
Tanja Käser
321
18
0
01 Jul 2023
Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem
S. Goethals
David Martens
Theodoros Evgeniou
262
10
0
24 Jun 2023
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna
Tessa Han
Alex Gu
Steven Wu
S. Jabbari
Himabindu Lakkaraju
744
240
0
03 Feb 2022
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
2.5K
19,614
0
16 Feb 2016
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