aiqbench analysis
This paper proposes an abstract architecture for "explainable autonomy," arguing that explainability must be treated as a core design requirement alongside safety and security rather than an afterthought. By providing a design template validated through a civil nuclear industry example, the work offers a practical framework for engineering teams developing autonomous systems where human oversight and regulatory trust are critical. The approach directly addresses the immediate need to build trust in sophisticated robotic decision-making tools that will operate alongside human workers in hazardous environments.
An Abstract Architecture for Explainable Autonomy in Hazardous Environments
arXiv:2606.07211v1 Announce Type: new Abstract: Autonomous robotic systems are being proposed for use in hazardous environments, often to reduce the risks to human workers. In the immediate future, it is likely that human workers will continue to use and direct these autonomous robots, much like other computerised tools but with more sophisticated decision-making. Therefore, one important area on which to focus engineering effort is ensuring that these users trust the system. Recent literature suggests that explainability is closely related to how trustworthy a system is. Like safety and security properties, explainability should be designed into a system, instead of being added afterwards. This paper presents an abstract architecture that supports an autonomous system explaining its behaviour (explainable autonomy), providing a design template for implementing explainable autonomous systems. We present a worked example of how our architecture could be applied in the civil nuclear industry, where both workers and regulators need to trust the system's decision-making capabilities.
Abstract:Autonomous robotic systems are being proposed for use in hazardous environments, often to reduce the risks to human workers. In the immediate future, it is likely that human workers will continue to use and direct these autonomous robots, much like other computerised tools but with more sophisticated decision-making. Therefore, one important area on which to focus engineering effort is ensuring that these users trust the system. Recent literature suggests that explainability is closely related to how trustworthy a system is. Like safety and security properties, explainability should be designed into a system, instead of being added afterwards. This paper presents an abstract architecture that supports an autonomous system explaining its behaviour (explainable autonomy), providing a design template for implementing explainable autonomous systems. We present a worked example of how our architecture could be applied in the civil nuclear industry, where both workers and regulators need to trust the system's decision-making capabilities.
Robotics (cs.RO); Artificial Intelligence (cs.AI)
arXiv:2606.07211 [cs.RO]
(or arXiv:2606.07211v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2606.07211 arXiv-issued DOI via DataCite (pending registration)
https://doi.org/10.1109/REW56159.2022.00027 DOI(s) linking to related resources
Full text under the publisher's open licence · 177 words
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