Document Type
Article
Publication Date
7-17-2023
Department
Department of Cognitive and Learning Sciences
Abstract
This paper summarizes the psychological insights and related design challenges that have emerged in the field of Explainable AI (XAI). This summary is organized as a set of principles, some of which have recently been instantiated in XAI research. The primary aspects of implementation to which the principles refer are the design and evaluation stages of XAI system development, that is, principles concerning the design of explanations and the design of experiments for evaluating the performance of XAI systems. The principles can serve as guidance, to ensure that AI systems are human-centered and effectively assist people in solving difficult problems.
Publication Title
KI - Kunstliche Intelligenz
Recommended Citation
Hoffman, R.,
Miller, T.,
Klein, G.,
Mueller, S.,
&
Clancey, W.
(2023).
Increasing the Value of XAI for Users: A Psychological Perspective.
KI - Kunstliche Intelligenz.
http://doi.org/10.1007/s13218-023-00806-9
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/17409
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Version
Publisher's PDF
Publisher's Statement
© The Author(s) 2023. Publisher’s version of record: https://doi.org/10.1007/s13218-023-00806-9