Burton, Simon, Habli, Ibrahim orcid.org/0000-0003-2736-8238, Lawton, Tom et al. (3 more authors) (2019) Mind the Gaps: Assuring the Safety of Autonomous Systems from an Engineering, Ethical, and Legal Perspective. Artificial Intelligence. 103201. ISSN 0004-3702
Abstract
This paper brings together a multi-disciplinary perspective from systems engineering, ethics, and law to articulate a common language in which to reason about the multi-faceted problem of assuring the safety of autonomous systems. The paper's focus is on the “gaps” that arise across the development process: the semantic gap, where normal conditions for a complete specification of intended functionality are not present; the responsibility gap, where normal conditions for holding human actors morally responsible for harm are not present; and the liability gap, where normal conditions for securing compensation to victims of harm are not present. By categorising these “gaps” we can expose with greater precision key sources of uncertainty and risk with autonomous systems. This can inform the development of more detailed models of safety assurance and contribute to more effective risk control.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Elsevier B.V. All rights reserved. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. |
Keywords: | safety,Autonomous systems,Artificial Intelligence,LAW,ETHICS |
Dates: |
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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 Social Sciences (York) > The York Law School The University of York > Faculty of Arts and Humanities (York) > Philosophy (York) |
Depositing User: | Pure (York) |
Date Deposited: | 11 Nov 2019 09:50 |
Last Modified: | 02 Apr 2025 23:17 |
Published Version: | https://doi.org/10.1016/j.artint.2019.103201 |
Status: | Published online |
Refereed: | Yes |
Identification Number: | 10.1016/j.artint.2019.103201 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:153314 |