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Towards a Framework for Safety Assurance of Autonomous Systems
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Towards a Framework for Safety Assurance of Autonomous Systems
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| Title of host publication | Artificial Intelligence Safety 2019 |
|---|---|
| Date | Published - 11 Aug 2019 |
| Pages | 1-7 |
| Number of pages | 8 |
| Publisher | CEUR Workshop Proceedings |
| Editors | Huascar Espinoza, Han Yu, Xiaowei Huang, Freddy Lecue, Cynthia Chen, Jose Hernandex-Orallo, Sean o hEigeartaigh, Richard Mallah |
| Volume | 2419 |
| Original language | English |
| ISBN (Electronic) | 1613-0073 |
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.
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