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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

6 May 2022
Ulrike Kuhl
André Artelt
Barbara Hammer
ArXivPDFHTML

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
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
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
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
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
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
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
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
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
219
3,658
0
28 Feb 2017
1