Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2205.03398
Cited By
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning
6 May 2022
Ulrike Kuhl
André Artelt
Barbara Hammer
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning"
8 / 8 papers shown
Title
Advancing Explainable AI Toward Human-Like Intelligence: Forging the Path to Artificial Brain
Yongchen Zhou
Richard Jiang
11
1
0
07 Feb 2024
Toward enriched Cognitive Learning with XAI
M. Nizami
Ulrike Kuhl
J. Alonso-Moral
Alessandro Bogliolo
17
1
0
19 Dec 2023
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
16
1
0
28 Sep 2023
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI
Ulrike Kuhl
André Artelt
Barbara Hammer
6
3
0
13 Jun 2023
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
8
13
0
16 Mar 2023
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
Yao Rong
Tobias Leemann
Thai-trang Nguyen
Lisa Fiedler
Peizhu Qian
Vaibhav Unhelkar
Tina Seidel
Gjergji Kasneci
Enkelejda Kasneci
ELM
20
91
0
20 Oct 2022
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting
Ulrike Kuhl
André Artelt
Barbara Hammer
16
24
0
11 May 2022
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
219
3,658
0
28 Feb 2017
1