Print Email Facebook Twitter A Two-Dimensional Explanation Framework to Classify AI as Incomprehensible, Interpretable, or Understandable Title A Two-Dimensional Explanation Framework to Classify AI as Incomprehensible, Interpretable, or Understandable Author Verhagen, R.S. (TU Delft Interactive Intelligence) Neerincx, M.A. (TU Delft Interactive Intelligence; TNO) Tielman, M.L. (TU Delft Interactive Intelligence) Contributor Calvaresi, Davide (editor) Najjar, Amro (editor) Winikoff, Michael (editor) Främling, Kary (editor) Date 2021 Abstract Because of recent and rapid developments in Artificial Intelligence (AI), humans and AI-systems increasingly work together in human-agent teams. However, in order to effectively leverage the capabilities of both, AI-systems need to be understandable to their human teammates. The branch of eXplainable AI (XAI) aspires to make AI-systems more understandable to humans, potentially improving human-agent teamwork. Unfortunately, XAI literature suffers from a lack of agreement regarding the definitions of and relations between the four key XAI-concepts: transparency, interpretability, explainability, and understandability. Inspired by both XAI and social sciences literature, we present a two-dimensional framework that defines and relates these concepts in a concise and coherent way, yielding a classification of three types of AI-systems: incomprehensible, interpretable, and understandable. We also discuss how the established relationships can be used to guide future research into XAI, and how the framework could be used during the development of AI-systems as part of human-AI teams. Subject ExplainabilityExplainable AIHuman-agent teamingInterpretabilityTransparencyUnderstandability To reference this document use: http://resolver.tudelft.nl/uuid:fecd16c7-7ad5-4a91-9090-a700a8915438 DOI https://doi.org/10.1007/978-3-030-82017-6_8 Publisher Springer, Cham Embargo date 2022-07-17 ISBN 978-3-030-82016-9 Source Explainable and Transparent AI and Multi-Agent Systems: Third International Workshop, EXTRAAMAS 2021 Event EXTRAAMAS 2021, 2021-05-03 → 2021-05-07, Virtual at London, United Kingdom Series Part of the Lecture Notes in Computer Science book series, 12688 Bibliographical note Accepted author manuscript Part of collection Institutional Repository Document type conference paper Rights © 2021 R.S. Verhagen, M.A. Neerincx, M.L. Tielman Files PDF EXTRAAMAS2021_Verhagen_po ... tprint.pdf 888.66 KB Close viewer /islandora/object/uuid:fecd16c7-7ad5-4a91-9090-a700a8915438/datastream/OBJ/view