By the same authors

Towards a Framework for Safety Assurance of Autonomous Systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Towards a Framework for Safety Assurance of Autonomous Systems. / McDermid, John Alexander; Jia, Yan; Habli, Ibrahim.

Artificial Intelligence Safety 2019. ed. / Huascar Espinoza; Han Yu; Xiaowei Huang; Freddy Lecue; Cynthia Chen; Jose Hernandex-Orallo; Sean o hEigeartaigh; Richard Mallah. Vol. 2419 CEUR Workshop Proceedings, 2019. p. 1-7.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

McDermid, JA, Jia, Y & Habli, I 2019, Towards a Framework for Safety Assurance of Autonomous Systems. in H Espinoza, H Yu, X Huang, F Lecue, C Chen, J Hernandex-Orallo, S o hEigeartaigh & R Mallah (eds), Artificial Intelligence Safety 2019. vol. 2419, CEUR Workshop Proceedings, pp. 1-7.

APA

McDermid, J. A., Jia, Y., & Habli, I. (2019). Towards a Framework for Safety Assurance of Autonomous Systems. In H. Espinoza, H. Yu, X. Huang, F. Lecue, C. Chen, J. Hernandex-Orallo, S. o hEigeartaigh, & R. Mallah (Eds.), Artificial Intelligence Safety 2019 (Vol. 2419, pp. 1-7). CEUR Workshop Proceedings.

Vancouver

McDermid JA, Jia Y, Habli I. Towards a Framework for Safety Assurance of Autonomous Systems. In Espinoza H, Yu H, Huang X, Lecue F, Chen C, Hernandex-Orallo J, o hEigeartaigh S, Mallah R, editors, Artificial Intelligence Safety 2019. Vol. 2419. CEUR Workshop Proceedings. 2019. p. 1-7

Author

McDermid, John Alexander ; Jia, Yan ; Habli, Ibrahim. / Towards a Framework for Safety Assurance of Autonomous Systems. Artificial Intelligence Safety 2019. editor / Huascar Espinoza ; Han Yu ; Xiaowei Huang ; Freddy Lecue ; Cynthia Chen ; Jose Hernandex-Orallo ; Sean o hEigeartaigh ; Richard Mallah. Vol. 2419 CEUR Workshop Proceedings, 2019. pp. 1-7

Bibtex - Download

@inproceedings{17e15f4c0376421396332562f28f1dd9,
title = "Towards a Framework for Safety Assurance of Autonomous Systems",
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. ",
author = "McDermid, {John Alexander} and Yan Jia and Ibrahim Habli",
year = "2019",
month = aug,
day = "11",
language = "English",
volume = "2419",
pages = "1--7",
editor = "Huascar Espinoza and Han Yu and Huang, {Xiaowei } and Freddy Lecue and Cynthia Chen and Jose Hernandex-Orallo and {o hEigeartaigh}, Sean and Richard Mallah",
booktitle = "Artificial Intelligence Safety 2019",
publisher = "CEUR Workshop Proceedings",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Towards a Framework for Safety Assurance of Autonomous Systems

AU - McDermid, John Alexander

AU - Jia, Yan

AU - Habli, Ibrahim

PY - 2019/8/11

Y1 - 2019/8/11

N2 - 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.

AB - 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.

M3 - Conference contribution

VL - 2419

SP - 1

EP - 7

BT - Artificial Intelligence Safety 2019

A2 - Espinoza, Huascar

A2 - Yu, Han

A2 - Huang, Xiaowei

A2 - Lecue, Freddy

A2 - Chen, Cynthia

A2 - Hernandex-Orallo, Jose

A2 - o hEigeartaigh, Sean

A2 - Mallah, Richard

PB - CEUR Workshop Proceedings

ER -