Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2306.07637
Cited By
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI
13 June 2023
Ulrike Kuhl
André Artelt
Barbara Hammer
Re-assign community
ArXiv (abs)
PDF
HTML
Github
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
M. Domnich
Julius Valja
Rasmus Moorits Veski
Giacomo Magnifico
Kadi Tulver
Eduard Barbu
Raul Vicente
LRM
ELM
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
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
Greta Warren
Mark T. Keane
R. Byrne
CML
67
22
0
21 Apr 2022
The Shapley Value in Machine Learning
Benedek Rozemberczki
Lauren Watson
Péter Bayer
Hao-Tsung Yang
Oliver Kiss
Sebastian Nilsson
Rik Sarkar
TDI
FAtt
98
214
0
11 Feb 2022
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
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
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
André Artelt
Barbara Hammer
LRM
72
51
0
15 Nov 2019
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
Shubham Sharma
Jette Henderson
Joydeep Ghosh
70
87
0
20 May 2019
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
Tim Miller
XAI
254
4,281
0
22 Jun 2017
1