User-centric explainable AI : design and evaluation of an approach to generate coherent counterfactual explanations for structured data
Year of publication: |
2023
|
---|---|
Authors: | Förster, Maximilian ; Hühn, Philipp ; Klier, Mathias ; Kluge, Kilian |
Published in: |
Journal of decision systems. - Abingdon : Taylor & Francis, ISSN 2116-7052, ZDB-ID 2390485-9. - Vol. 32.2023, 4, p. 700-731
|
Subject: | coherent explanations | counterfactual explanations | Explainable Artificial Intelligence | user study | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory |
-
Oliveira, Raphael Mazzine Barbosa de, (2024)
-
Disagreement amongst counterfactual explanations : how transparency can be misleading
Brughmans, Dieter, (2024)
-
Mathematical optimization modelling for group counterfactual explanations
Carrizosa, Emilio, (2024)
- More ...
-
Brasse, Julia, (2024)
-
Brasse, Julia, (2023)
-
Human-machine collaboration in online customer service – a long-term feedback-based approach
Graef, Roland, (2020)
- More ...