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The challenge of privacy and security when using technology to track people in times of COVID-19 pandemic

机译:在Covid-19大流行时期使用技术追踪人们时隐私和安全的挑战

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Since the start of the Coronavirus disease 2019 (COVID-19) governments and health authorities across the world have find it very difficult in controlling infections. Digital technologies such as artificial intelligence (AI), big data, cloud computing, blockchain and 5G have effectively improved the efficiency of efforts in epidemic monitoring, virus tracking, prevention, control and treatment. Surveillance to halt COVID-19 has raised privacy concerns, as many governments are willing to overlook privacy implications to save lives. The purpose of this paper is to conduct a focused Systematic Literature Review (SLR), to explore the potential benefits and implications of using digital technologies such as AI, big data and cloud to track COVID-19 amongst people in different societies. The aim is to highlight the risks of security and privacy to personal data when using technology to track COVID-19 in societies and identify ways to govern these risks. The paper uses the SLR approach to examine 40 articles published during 2020, ultimately down selecting to the most relevant 24 studies. In this SLR approach we adopted the following steps; formulated the problem, searched the literature, gathered information from studies, evaluated the quality of studies, analysed and integrated the outcomes of studies while concluding by interpreting the evidence and presenting the results. Papers were classified into different categories such as technology use, impact on society and governance. The study highlighted the challenge for government to balance the need of what is good for public health versus individual privacy and freedoms. The findings revealed that although the use of technology help governments and health agencies reduce the spread of the COVID-19 virus, government surveillance to halt has sparked privacy concerns. We suggest some requirements for government policy to be ethical and capable of commanding the trust of the public and present some research questions for future research.
机译:自2019年冠状病毒疾病开始以来(Covid-19)各地政府和卫生当局在控制感染方面发现非常困难。人工智能(AI),大数据,云计算,区块链和5G等数字技术有效地提高了流行病监测,病毒跟踪,预防,控制和治疗中的努力的效率。监视停止Covid-19提出了隐私问题,因为许多政府愿意忽视拯救生命的隐私含义。本文的目的是进行一项集中的系统文献综述(SLR),探讨使用数字技术,如AI,大数据和云等数字技术的潜在福利和含义,以跟踪不同社会中的人们的Covid-19。目的是在使用技术以跟踪社会中的Covid-19时,突出安全和隐私对个人数据的风险,并确定管理这些风险的方法。本文采用了单反方法检查2020年期间发表的40篇文章,最终将对最多相关的24项研究选择。在这方面,我们采用以下步骤;制定了问题,搜查了文献,收集了研究的信息,评估了研究的质量,通过解释证据并呈现结果来结束学习,分析和综合研究结果。论文被分类为不同类别,如技术使用,对社会和治理的影响。该研究强调了政府平衡对公共卫生与个人隐私和自由有益的需求的挑战。结果表明,虽然使用技术帮助政府和卫生机构减少了Covid-19病毒的传播,但政府监测停止了潜在的隐私问题。我们建议对政府政策的一些要求是道德,能够指挥公众的信任,并为未来的研究提供一些研究问题。

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