Subject the Protection of Individual Information Privacy to Its Limits

Jinting Deng
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Abstract

This paper discusses the conflicts between the requirements of big data development for data development and those of the current individual information privacy protection system. It analyzes the over emphasis on self-determination regarding data development, which causes practical problems, and argues that such emphasis should respect the scope where data subjects could make subjective determination. It further argues that the existence of public sphere during data processing and the scope of self-determination are prerequisites to find information privacy interest, and thus the protection shall be subject to such limits. Accordingly, it proposes a three-step protective framework. Step One, when either of the two prerequisites is missing, no privacy exists and big data development shall be regulated through a multi-party participating mechanism which considers privacy risk as one of many factors. Data subjects shall have the right to data resource. Such arrangement provides the legitimacy for the development of big data. Step Two, when both exist, privacy exists and data development shall be regulated through a balance test which may reinterpret traditional privacy corners. Step Three, when privacy prevails in the balance test, data development shall respect the self determination of data subjects, which includes strengthened consent or even customer expectations requirements. The article concludes with implications of the framework for current information privacy protection system.
个人信息隐私保护要有限度
本文论述了大数据发展对数据发展的要求与现行个人信息隐私保护制度的要求之间的冲突。分析了过度强调数据开发的自决权,这造成了实际问题,并认为这种强调应尊重数据主体可以作出主观决定的范围。进一步认为,数据处理过程中公共领域的存在和自决权的范围是发现信息隐私利益的先决条件,因此保护应受到这种限制。因此,它提出了一个三步保护框架。第一步,当两个前提条件都不具备时,即不存在隐私,通过多方参与机制对大数据发展进行监管,将隐私风险作为诸多因素之一。数据主体享有数据资源的权利。这样的安排为大数据的发展提供了合法性。第二步,当两者都存在时,隐私是存在的,需要通过平衡测试来规范数据的发展,这可能会重新解释传统的隐私角落。第三步,当平衡测试中隐私占上风时,数据开发应尊重数据主体的自我决定,包括加强同意甚至客户期望要求。文章最后提出了该框架对当前信息隐私保护制度的启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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