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Introduction to the Special Issue on Explainable Robotic Systems

Introduction to the Special Issue on Explainable Robotic Systems Introduction to the Special Issue on Explainable Robotic Systems MAARTJE M. A. DE GRAAF, Utrecht University ANCA DRAGAN, University of California, Berkeley BERTRAM F. MALLE, Brown University TOM ZIEMKE, Linkoping University Additional Key Words and Phrases: Robotic systems, human-robot interaction, explainability, transparency ACM Reference format: Maartje M. A. de Graaf, Anca Dragan, Bertram F. Malle, and Tom Ziemke. 2021. Introduction to the Special Issue on Explainable Robotic Systems. ACM Trans. Hum.-Robot Interact. 10, 3, Article 22 (July 2021), 4 pages. https://doi.org/10.1145/3461597 1 TOPIC RELEVANCE Robotic systems are likely to become increasingly ubiquitous but at the same time also increas- ingly complex. With this will come the need for them to be transparent and trustworthy for a broad range of users: people have to understand enough about a robot’s inner workings to assess when such systems can be trusted. The call for autonomous intelligent systems (AIS) to be transparent has recently become loud and clear (e.g., [19]) and currently is a pressing funding and research agenda. Some forms of transparency, such as traceability and verification, are particu- larly important for software and hardware engineers [2, 5]; other forms, such as explainability or intelligibility, are particularly important for ordinary people [3]. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Human-Robot Interaction (THRI) Association for Computing Machinery

Introduction to the Special Issue on Explainable Robotic Systems

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References (25)

Publisher
Association for Computing Machinery
Copyright
Copyright © 2021 Owner/Author
eISSN
2573-9522
DOI
10.1145/3461597
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Abstract

Introduction to the Special Issue on Explainable Robotic Systems MAARTJE M. A. DE GRAAF, Utrecht University ANCA DRAGAN, University of California, Berkeley BERTRAM F. MALLE, Brown University TOM ZIEMKE, Linkoping University Additional Key Words and Phrases: Robotic systems, human-robot interaction, explainability, transparency ACM Reference format: Maartje M. A. de Graaf, Anca Dragan, Bertram F. Malle, and Tom Ziemke. 2021. Introduction to the Special Issue on Explainable Robotic Systems. ACM Trans. Hum.-Robot Interact. 10, 3, Article 22 (July 2021), 4 pages. https://doi.org/10.1145/3461597 1 TOPIC RELEVANCE Robotic systems are likely to become increasingly ubiquitous but at the same time also increas- ingly complex. With this will come the need for them to be transparent and trustworthy for a broad range of users: people have to understand enough about a robot’s inner workings to assess when such systems can be trusted. The call for autonomous intelligent systems (AIS) to be transparent has recently become loud and clear (e.g., [19]) and currently is a pressing funding and research agenda. Some forms of transparency, such as traceability and verification, are particu- larly important for software and hardware engineers [2, 5]; other forms, such as explainability or intelligibility, are particularly important for ordinary people [3].

Journal

ACM Transactions on Human-Robot Interaction (THRI) – Association for Computing Machinery

Published: Jul 10, 2021

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