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Improving Model Understanding and Trust with Counterfactual Explanations
  of Model Confidence

Improving Model Understanding and Trust with Counterfactual Explanations of Model Confidence

6 June 2022
Thao Le
Tim Miller
Ronal Singh
L. Sonenberg
ArXiv (abs)PDFHTML

Papers citing "Improving Model Understanding and Trust with Counterfactual Explanations of Model Confidence"

5 / 5 papers shown
Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations
Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations
Laura Spillner
Nima Zargham
M. Pomarlan
R. Porzel
Rainer Malaka
136
0
0
29 Jul 2025
Explainable and Human-Grounded AI for Decision Support Systems: The
  Theory of Epistemic Quasi-Partnerships
Explainable and Human-Grounded AI for Decision Support Systems: The Theory of Epistemic Quasi-Partnerships
John Dorsch
Maximilian Moll
234
4
0
23 Sep 2024
T-COL: Generating Counterfactual Explanations for General User
  Preferences on Variable Machine Learning Systems
T-COL: Generating Counterfactual Explanations for General User Preferences on Variable Machine Learning Systems
Yiming Li
Daling Wang
Wenfang Wu
Shi Feng
Yifei Zhang
CML
237
1
0
28 Sep 2023
Explaining Groups of Instances Counterfactually for XAI: A Use Case,
  Algorithm and User Study for Group-Counterfactuals
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals
Greta Warren
Markt. Keane
Christophe Guéret
Eoin Delaney
146
15
0
16 Mar 2023
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.5K
19,805
0
16 Feb 2016
1