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From computational indicators to law into technologies: the Internet of Things, data analytics and encoding in COVID-19 contact-tracing apps
International Journal of Law in Context Pub Date : 2021-06-10 , DOI: 10.1017/s174455232100032x
David Restrepo Amariles

This paper investigates the data life-cycle of contact-tracing apps (CTAs) in the context of the COVID-19 pandemic. It highlights the socio-legal implications resulting from the design and technology choices that software developers inevitably make. These choices are often neglected by policy-makers due to the inherent technical complexity of algorithmic decision systems and to certain naive belief in technological solutionism. In particular, this paper shows, first, that technology-harvested data do not reflect an objective representation of reality, and therefore require a context within which to be understood and interpreted for policy and legal purposes; and, second, that the use of data analytics to extract insights from these data enables the production of computational indicators. By looking at how CTAs are used to implement pandemic-mitigation restrictions such as lockdowns, quarantines, social distancing and testing, the paper ultimately brings forth the ways in which technologies – and thus their bias and ways of framing social reality – become embedded in the law.



中文翻译:

从计算指标到法律再到技术:COVID-19 接触者追踪应用程序中的物联网、数据分析和编码

本文研究了 COVID-19 大流行背景下联系人追踪应用程序 (CTA) 的数据生命周期。它强调了软件开发人员不可避免地做出的设计和技术选择所产生的社会法律影响。由于算法决策系统固有的技术复杂性以及对技术解决方案的某些天真信念,这些选择经常被决策者忽视。特别是,本文首先表明,技术收集的数据并不反映现实的客观表现,因此需要一个背景,以便为政策和法律目的理解和解释;其次,使用数据分析从这些数据中提取洞察力可以生成计算指标。

更新日期:2021-06-10
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