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疫情之下的数据治理及人工智能应用边界探索
引用本文:宗喆,鲁俊群.疫情之下的数据治理及人工智能应用边界探索[J].科技管理研究,2021,41(17):162-169.
作者姓名:宗喆  鲁俊群
作者单位:暨南大学经济学院//广发银行博士后工作站,广东广州 510080;清华大学人工智能国际治理研究院,北京 100084
摘    要:梳理欧美相关法律中的相关条款,专注于分析疫情爆发初期主要国家采用科技抗疫的案例,提出在疫情等公共安全事件突发时,各国应在内部明确数据保护与公共利益优先的临界点,并尽快建立平衡数据保护与公共利益的国际合作机制.

关 键 词:新冠疫情  科技抗疫  数据治理  公共政策
收稿时间:2020/12/28 0:00:00
修稿时间:2021/1/14 0:00:00

An Exploration into Data Governance and the Boundaries of Artificial Intelligence Application amid the COVID-19 Crisis
Zong Zhe,Lu Junqun.An Exploration into Data Governance and the Boundaries of Artificial Intelligence Application amid the COVID-19 Crisis[J].Science and Technology Management Research,2021,41(17):162-169.
Authors:Zong Zhe  Lu Junqun
Abstract:The outbreak of coronavirus disease 2019 (COVID-19) makes many countries focus on the topic of epidemic containment by science and technology. At the same time, the COVID-19 epidemic has thrown a huge challenge to the data privacy governance system that is still in the exploratory stage in European countries and the U.S., as well as the AI technology governance system that is yet to be established. On the other hand, whether major European countries and the U.S. can use smart phone data and artificial intelligence techniques to prevent the spread of this epidemic or not has been an ongoing dispute under the regulations of relevant privacy regulations. This paper will introduce the relevant issues in relevant privacy regulations, and then introduce the cases of epidemic containment by technology in the world. Last, this paper points out that setting tipping point and establishing an international cooperation mechanism between data protection and public interests are both urgent and crucial.
Keywords:Coronavirus Disease  Epidemic Containment by Technology  Data Governance  Policy Sciences
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