Applying the "SOTEC" framework of sociotechnical risk analysis to the development of an autonomous robot swarm for a public cloakroom.

IF 3 3区 医学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Risk Analysis Pub Date : 2024-08-23 DOI:10.1111/risa.17632
Peter Winter, John Downer, James Wilson, Dhaminda B Abeywickrama, Suet Lee, Sabine Hauert, Shane Windsor
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引用次数: 0

Abstract

The past decade has seen efforts to develop new forms of autonomous systems with varying applications in different domains, from underwater search and rescue to clinical diagnosis. All of these applications require risk analyses, but such analyses often focus on technical sources of risk without acknowledging its wider systemic and organizational dimensions. In this article, we illustrate this deficit and a way of redressing it by offering a more systematic analysis of the sociotechnical sources of risk in an autonomous system. To this end, the article explores the development, deployment, and operation of an autonomous robot swarm for use in a public cloakroom in light of Macrae's structural, organizational, technological, epistemic, and cultural framework of sociotechnical risk. We argue that this framework provides a useful tool for capturing the complex "nontechnical" dimensions of risk in this domain that might otherwise be overlooked in the more conventional risk analyses that inform regulation and policymaking.

将社会技术风险分析的 "SOTEC "框架应用于公共衣帽间自主机器人群的开发。
在过去的十年里,人们一直在努力开发新形式的自主系统,这些系统在不同的领域有着不同的应用,从水下搜索和救援到临床诊断。所有这些应用都需要进行风险分析,但这种分析往往只关注技术风险源,而不承认其更广泛的系统和组织层面。在本文中,我们通过对自主系统中的社会技术风险源进行更系统的分析,说明了这一不足以及纠正这一不足的方法。为此,文章根据麦克雷关于社会技术风险的结构、组织、技术、认识论和文化框架,探讨了公共衣帽间自主机器人群的开发、部署和运行。我们认为,这一框架为捕捉该领域复杂的 "非技术性 "风险提供了有用的工具,否则在为监管和政策制定提供信息的常规风险分析中,这些风险可能会被忽视。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Risk Analysis
Risk Analysis 数学-数学跨学科应用
CiteScore
7.50
自引率
10.50%
发文量
183
审稿时长
4.2 months
期刊介绍: Published on behalf of the Society for Risk Analysis, Risk Analysis is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues. The topics covered include: • Human health and safety risks • Microbial risks • Engineering • Mathematical modeling • Risk characterization • Risk communication • Risk management and decision-making • Risk perception, acceptability, and ethics • Laws and regulatory policy • Ecological risks.
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