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Rebellion and Disobedience in Human-Robot Interaction (RaD-HRI)

Published: 11 March 2024 Publication History

Abstract

The rise of robots in collaborative settings raises questions about their behavior in complex, socially-driven contexts. A key concern is the need for these robots to sometimes act against their programming, seemingly exhibiting "rebellious" or "disobedient" behavior. While such actions might seem counterproductive, there are scenarios where they might be beneficial for effective human-robot interaction. This workshop explores these nuances, examining situations where robots may need to exhibit disobedience to function optimally in society. Through an interdisciplinary lens, we investigate when and why robots might need to act in this manner and how it impacts human perceptions of them.

References

[1]
Thomas Arnold, Gordon Briggs, and Matthias Scheutz. 2022. Only Those Who Can Obey Can Disobey: the Intentional Implications of Artificial Agent Disobedience. In The first workshop on Rebellion and Disobedience in AI (RaD-AI) as part of AAMAS 2022.
[2]
Isaac Asimov. 2004. I, robot. Spectra.
[3]
Dylan Hadfield-Menell, Stuart J Russell, Pieter Abbeel, and Anca Dragan. 2016. Cooperative inverse reinforcement learning. In Advances in neural information processing systems. 3909?3917.
[4]
Reuth Mirsky and Peter Stone. 2021. Intelligent Disobedience and AI Rebel Agents in Assistive Robotics. In Proceedings of the ASIMOV workshop as part of the Inter- national Conference on Social Robotics.
[5]
Kantwon Rogers, Paul Anhalt, and Ayanna Howard. 2022. Playing Dumb to Get Smart: Investigating the Influence of a Learner's Age on the Permissibility of Robot Deception in an Educational Scenario. In The first workshop on Rebellion and Disobedience in AI (RaD-AI) as part of AAMAS 2022.
[6]
Vasanth Sarathy, Thomas Arnold, and Matthias Scheutz. 2019. When Exceptions Are the Norm: Exploring the Role of Consent in HRI. ACM Transactions on Human-Robot Interaction (THRI) 8, 3 (2019), 1-21.
[7]
Amika Singh and Munindar Singh. 2022. Discretion as a Foundation for Responsible Autonomy: A Legal Perspective. In The first workshop on Rebellion and Disobedience in AI (RaD-AI) as part of AAMAS 2022.

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      cover image ACM Conferences
      HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
      March 2024
      1408 pages
      ISBN:9798400703232
      DOI:10.1145/3610978
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Published: 11 March 2024

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      1. disobedience
      2. human-robot interaction
      3. rebellion

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