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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 be <jats:italic>ethically acceptable<\/jats:italic> when 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\u2014shortened to the acronym PRAISE\u2014is 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\u00a0specific AI\/AS in a\u00a0given socio-technical context. We apply the pattern to the hypothetical use case of an autonomous \u2018robo-taxi\u2019 service in a city centre.<\/jats:p>","DOI":"10.1007\/s43681-023-00297-2","type":"journal-article","created":{"date-parts":[[2023,6,6]],"date-time":"2023-06-06T16:46:26Z","timestamp":1686069986000},"page":"593-616","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":40,"title":["A principles-based ethics assurance argument pattern for AI and autonomous systems"],"prefix":"10.1007","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4467-3288","authenticated-orcid":false,"given":"Zoe","family":"Porter","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2736-8238","authenticated-orcid":false,"given":"Ibrahim","family":"Habli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4745-4272","authenticated-orcid":false,"given":"John","family":"McDermid","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0963-1004","authenticated-orcid":false,"given":"Marten","family":"Kaas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,6,6]]},"reference":[{"key":"297_CR1","unstructured":"European Commission.: Annexes to the Proposal for a regulation of the European Parliament and of the Council laying down harmonised rules on artificial intelligence (Artificial Intelligence Act) and amending certain union legislative acts. https:\/\/eur-lex.europa.eu\/resource.html?uri=cellar:e0649735-a372-11eb-9585-01aa75ed71a1.0001.02\/DOC_2&format=PDF (2021) Accessed 19 December 2022"},{"key":"297_CR2","unstructured":"OECD. 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