北京航空航天大学学报社科版 ›› 2020, Vol. 33 ›› Issue (3): 8-16,71.DOI: 10.13766/j.bhsk.1008-2204.2020.0110

• 本期特约专家稿件 • 上一篇    下一篇

大数据与人工智能时代的个人信息立法——论新科技对信息隐私的挑战

丁晓东   

  1. 中国人民大学 法学院, 北京 100872
  • 收稿日期:2020-03-23 出版日期:2020-05-25 发布日期:2020-06-03
  • 作者简介:丁晓东(1982-),男,浙江淳安人,副教授,博士,研究方向为法理学、网络法与信息法.

Personal information Legislation in the Age of Big Data and Artificial Intelligence: Challenges of New Technology to Information Privacy

DING Xiaodong   

  1. Law School, Renmin University of China, Beijing 100872, China
  • Received:2020-03-23 Online:2020-05-25 Published:2020-06-03

摘要: 新科技的发展对传统的个人信息法律保护框架提出了挑战。在大数据、人工智能、物联网、云技术高速发展的背景下,以用户同意为基础的个人信息授权常常陷入无法保护信息隐私或阻碍技术进步的困境。同时,对信息使用者施加限制的若干原理也存在问题。究其原因,当前的个人信息法律保护法采取了个体主义与静态化的保护进路,与新科技背景下的信息利用存在紧张。在大数据与人工智能时代,个人信息法律保护应当从侧重个体主义许可转向侧重风险控制,从侧重静态化保护转向侧重动态化保护。

关键词: 个人信息保护, 大数据, 人工智能, 物联网, 云技术

Abstract: The development of new technology has posed new challenges to the traditional framework of data protection. In the context of big data, artificial intelligence, internet of things, cloud technology and so on, authorization of personal information based on user consent often falls into invalid or hinders technological progress, and meanwhile, cannot really provide data privacy protection. Besides, there are also problems with some principles of restricting data users. The reason is that the current personal information protection law adopts the individualism and static protection approach, and there is tension with data utilization under the background of new science and technology. In the future, the protection of personal information should shift from individualistic permission to risk-oriented public law control, from static protection to dynamic protection.

Key words: personal information protection, big data, artificial intelligence, internet of things, cloud technology

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