McDermid, John Alexander orcid.org/0000-0003-4745-4272, Jia, Yan and Habli, Ibrahim orcid.org/0000-0003-2736-8238 (2019) Towards a Framework for Safety Assurance of Autonomous Systems. In: Espinoza, Huascar, Yu, Han, Huang, Xiaowei, Lecue, Freddy, Chen, Cynthia, Hernandex-Orallo, Jose, o hEigeartaigh, Sean and Mallah, Richard, (eds.) Artificial Intelligence Safety 2019. CEUR Workshop Proceedings , pp. 1-7.
Abstract
Autonomous systems have the potential to provide great benefit to society. However, they also pose problems for safety assurance, whether fully auton-omous or remotely operated (semi-autonomous). This paper discusses the challenges of safety assur-ance of autonomous systems and proposes a novel framework for safety assurance that, inter alia, uses machine learning to provide evidence for a system safety case and thus enables the safety case to be updated dynamically as system behaviour evolves.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Depositing User: | Pure (York) |
Date Deposited: | 29 Aug 2019 08:50 |
Last Modified: | 02 Apr 2025 23:33 |
Status: | Published |
Publisher: | CEUR Workshop Proceedings |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:150187 |
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Description: Towards a Framework for Safety Assurance of Autonomous Systems