Inhibitors and Enablers to Explainable AI Success: A Systematic Examination of Explanation Complexity and Individual Characteristics

Inhibitors and Enablers to Explainable AI Success: A Systematic Examination of Explanation Complexity and Individual Characteristics

With the increasing adaptability and complexity of advisory artificial intelligence (AI)-based agents, the topics of explainable AI and human-centered AI are moving close together. Variations in the explanation itself have been widely studied, with some contradictory results. These could be due to u...

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Bibliographic Details
Main Authors: Carolin Wienrich, Astrid Carolus, David Roth-Isigkeit, Andreas Hotho
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Multimodal Technologies and Interaction
Subjects:
explainable AI
human-centered AI
recommender agent
explanation complexity
individual differences
Online Access:https://www.mdpi.com/2414-4088/6/12/106

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