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For Better or Worse: The Impact of Counterfactual Explanations'
  Directionality on User Behavior in xAI

For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI

13 June 2023
Ulrike Kuhl
André Artelt
Barbara Hammer
ArXiv (abs)PDFHTMLGithub

Papers citing "For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI"

12 / 12 papers shown
Title
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments
M. Domnich
Julius Valja
Rasmus Moorits Veski
Giacomo Magnifico
Kadi Tulver
Eduard Barbu
Raul Vicente
LRMELM
93
4
0
28 Oct 2024
Let's Go to the Alien Zoo: Introducing an Experimental Framework to
  Study Usability of Counterfactual Explanations for Machine Learning
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning
Ulrike Kuhl
André Artelt
Barbara Hammer
76
19
0
06 May 2022
Features of Explainability: How users understand counterfactual and
  causal explanations for categorical and continuous features in XAI
Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI
Greta Warren
Mark T. Keane
R. Byrne
CML
67
22
0
21 Apr 2022
The Shapley Value in Machine Learning
The Shapley Value in Machine Learning
Benedek Rozemberczki
Lauren Watson
Péter Bayer
Hao-Tsung Yang
Oliver Kiss
Sebastian Nilsson
Rik Sarkar
TDIFAtt
98
214
0
11 Feb 2022
Understanding Consumer Preferences for Explanations Generated by XAI
  Algorithms
Understanding Consumer Preferences for Explanations Generated by XAI Algorithms
Yanou Ramon
T. Vermeire
Olivier Toubia
David Martens
Theodoros Evgeniou
65
10
0
06 Jul 2021
Conditional Generative Models for Counterfactual Explanations
Conditional Generative Models for Counterfactual Explanations
A. V. Looveren
Janis Klaise
G. Vacanti
Oliver Cobb
CML
66
29
0
25 Jan 2021
Counterfactual Explanations and Algorithmic Recourses for Machine
  Learning: A Review
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan E. Hines
John P. Dickerson
Chirag Shah
CML
153
175
0
20 Oct 2020
On the computation of counterfactual explanations -- A survey
On the computation of counterfactual explanations -- A survey
André Artelt
Barbara Hammer
LRM
72
51
0
15 Nov 2019
Model-Agnostic Counterfactual Explanations for Consequential Decisions
Model-Agnostic Counterfactual Explanations for Consequential Decisions
Amir-Hossein Karimi
Gilles Barthe
Borja Balle
Isabel Valera
91
324
0
27 May 2019
CERTIFAI: Counterfactual Explanations for Robustness, Transparency,
  Interpretability, and Fairness of Artificial Intelligence models
CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models
Shubham Sharma
Jette Henderson
Joydeep Ghosh
70
87
0
20 May 2019
Counterfactual Explanations without Opening the Black Box: Automated
  Decisions and the GDPR
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
135
2,366
0
01 Nov 2017
Explanation in Artificial Intelligence: Insights from the Social
  Sciences
Explanation in Artificial Intelligence: Insights from the Social Sciences
Tim Miller
XAI
254
4,281
0
22 Jun 2017
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