Suppr超能文献

在新冠疫情期间使用技术追踪人员时的隐私与安全挑战。

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

作者信息

Smidt Hermanus J, Jokonya Osden

机构信息

University of the Western Cape, Bellville, Cape Town 7535, South Africa.

出版信息

Procedia Comput Sci. 2021;181:1018-1026. doi: 10.1016/j.procs.2021.01.281. Epub 2021 Feb 22.

Abstract

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.

摘要

自2019年冠状病毒病(COVID-19)疫情开始以来,世界各国政府和卫生当局发现很难控制感染情况。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疫情监测、病毒追踪、预防、控制和治疗工作的效率。为遏制COVID-19而进行的监测引发了隐私担忧,因为许多政府愿意为拯救生命而忽视隐私问题。本文的目的是进行一次有针对性的系统文献综述(SLR),以探讨使用AI、大数据和云计算等数字技术在不同社会群体中追踪COVID-19的潜在益处和影响。目的是突出在社会中使用技术追踪COVID-19时个人数据面临的安全和隐私风险,并确定管理这些风险的方法。本文采用SLR方法审查了2020年发表的40篇文章,最终筛选出最相关的24项研究。在这种SLR方法中,我们采取了以下步骤:提出问题、检索文献、从研究中收集信息、评估研究质量、分析和整合研究结果,最后解释证据并呈现结果。论文被分为不同类别,如技术应用、对社会的影响和治理。该研究突出了政府在平衡公共卫生利益与个人隐私和自由需求方面面临的挑战。研究结果表明,尽管技术的使用有助于政府和卫生机构减少COVID-19病毒的传播,但政府为遏制疫情而进行的监测引发了隐私担忧。我们提出了一些政府政策应符合道德规范并能够赢得公众信任的要求,并提出了一些未来研究的问题。

相似文献

本文引用的文献

3
Open data in a deeply connected world.深度互联世界中的开放数据。
Genome Biol. 2020 Apr 20;21(1):96. doi: 10.1186/s13059-020-02010-6.
5
6
Using Artificial Intelligence in Infection Prevention.在感染预防中使用人工智能。
Curr Treat Options Infect Dis. 2020;12(2):135-144. doi: 10.1007/s40506-020-00216-7. Epub 2020 Mar 19.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验