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Disagreement amongst counterfactual explanations: How transparency can
  be deceptive

Disagreement amongst counterfactual explanations: How transparency can be deceptive

25 April 2023
Dieter Brughmans
Lissa Melis
David Martens
ArXivPDFHTML

Papers citing "Disagreement amongst counterfactual explanations: How transparency can be deceptive"

4 / 4 papers shown
Title
The future of human-centric eXplainable Artificial Intelligence (XAI) is
  not post-hoc explanations
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations
Vinitra Swamy
Jibril Frej
Tanja Kaser
34
14
0
01 Jul 2023
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna
Tessa Han
Alex Gu
Steven Wu
S. Jabbari
Himabindu Lakkaraju
177
186
0
03 Feb 2022
GeCo: Quality Counterfactual Explanations in Real Time
GeCo: Quality Counterfactual Explanations in Real Time
Maximilian Schleich
Zixuan Geng
Yihong Zhang
D. Suciu
46
61
0
05 Jan 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
257
3,684
0
28 Feb 2017
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