Osborne, Matthew orcid.org/0000-0002-9941-4531, Hawkins, Richard David orcid.org/0000-0001-7347-3413 and McDermid, John Alexander orcid.org/0000-0003-4745-4272 (Accepted: 2022) Analysing the Safety of Decision-Making in Autonomous Systems. In: SAFECOMP 2022 (41st International Conference on Computer Safety, Reliability and Security). (In Press)
Abstract
We characterise an autonomous system as one that has the capability to take decisions independently from human control. This independent and autonomous decision making could give rise to new hazards or hazard causes not present in an equivalent human-controlled system, e.g. through lack of human real-world understanding. Despite the increased adoption of autonomous systems there has been a dearth of research in the area of safety analysis and assurance of decision-making for autonomous systems. This paper is intended to be a first step to fill this gap. We compare and contrast the differing causal models of autonomous and non-autonomous systems, and build on existing safety engineering techniques in order to define a process (Decision Safety Analysis) for the analysis of autonomous decision-making. We show, using a real-world example, how this process supports the development of safety requirements to mitigate hazardous scenarios.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 20 Jul 2022 09:40 |
Last Modified: | 02 Apr 2025 23:34 |
Status: | In Press |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:189278 |
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