期刊
ARTIFICIAL INTELLIGENCE
卷 279, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.artint.2019.103201
关键词
Safety; Autonomous systems; Artificial intelligence; Law; Ethics
资金
- Assuring Autonomy International Programme
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 multifaceted 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. (C) 2019 Elsevier B.V. All rights reserved.
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