A principles-based ethics assurance argument pattern for AI and autonomous systems
A principles-based ethics assurance argument pattern for AI and autonomous systems
复制标题
人工智能和自主系统基于原则的道德保证论证模式
DOI:
10.1007/s43681-023-00297-2
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发表时间:
2023
期刊:
影响因子:
--
通讯作者:
Porter Z
中科院分区:
文献类型:
--
作者:
Porter Z
An assurance case is a structured argument, typically produced by safety engineers, to communicate confidence that a critical or complex system, such as an aircraft, will beacceptably safewithin its intended context. Assurance cases often inform third party approval of a system. One emerging proposition within the trustworthy AI and autonomous systems (AI/AS) research community is to use assurance cases to instil justified confidence that specific AI/AS will beethically acceptablewhen operational in well-defined contexts. This paper substantially develops the proposition and makes it concrete. It brings together the assurance case methodology with a set of ethical principles to structure a principles-based ethics assurance argument pattern. The principles are justice, beneficence, non-maleficence, and respect for human autonomy, with the principle of transparency playing a supporting role. The argument pattern—shortened to the acronym PRAISE—is described. The objective of the proposed PRAISE argument pattern is to provide a reusable template for individual ethics assurance cases, by which engineers, developers, operators, or regulators could justify, communicate, or challenge a claim about the overall ethical acceptability of the use of a specific AI/AS in a given socio-technical context. We apply the pattern to the hypothetical use case of an autonomous ‘robo-taxi’ service in a city centre.
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DOI:
--
发表时间:
2014
期刊:
影响因子:
--
作者:
Kouki Kiyota;Hironori Ueno;Keiko Numayama-Tsuruta;Yohsuke Imai;Takami Yamaguchi;Takuji Ishikawa;北川進
通讯作者:
北川進
DOI:
--
发表时间:
2023
期刊:
臨床精神薬理
影响因子:
--
作者:
富田 博秋;兪 志前;李 雪; 高橋 雄太
通讯作者:
高橋 雄太
影响因子:
14.4
作者:
Burton, Simon;Habli, Ibrahim;Porter, Zoe
通讯作者:
Porter, Zoe
DOI:
--
发表时间:
2020
期刊:
Social Science Research Network
影响因子:
--
作者:
Maksim Karliuk
通讯作者:
Maksim Karliuk
DOI:
--
发表时间:
2020
期刊:
SAFECOMP Workshops
影响因子:
--
作者:
Francis Rhys Ward;I. Habli
通讯作者:
I. Habli