Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 1 of 1
Full-Text Articles in Social and Behavioral Sciences
Increasing The Value Of Xai For Users: A Psychological Perspective, Robert R. Hoffman, Timothy Miller, Gary Klein, Shane T. Mueller, William J. Clancey
Increasing The Value Of Xai For Users: A Psychological Perspective, Robert R. Hoffman, Timothy Miller, Gary Klein, Shane T. Mueller, William J. Clancey
Michigan Tech Publications
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.