The Transparent Self Under Big Data Profiling: Privacy and Chinese Legislation on the Social Credit System

Yongxi Chen, A. Cheung
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引用次数: 94

Abstract

China’s Social Credit System (SCS) has captured the imagination and power of big data technology. Launched at the national level in 2014, the system’s aim is to assess the trustworthiness of Chinese citizens in keeping their promises and complying with legal rules, moral norms, and professional and ethical standards. It is essentially a collaborative project between the authorities and the business sectors to rate both individuals and other entities. In certain contexts, each individual will be given a social credit score or rank. Despite the claimed good will to curb escalating dishonesty across societal sectors in China, the worry is that the totality of individuals’ lives will be captured, that citizens will be monitored and that the Orwellian state will become a reality. Individuals risk being reduced to transparent selves before the state in this uneven battle. They are uncertain about what contributes to their social credit scores, how those scores are combined with the state system, and how their data is interpreted and used. In short, the big data-driven SCS is confronting Chinese citizens with major challenges to their privacy and personal data, amongst other interests critical to them. This article first maps out the background to the construction of China’s big data social laboratory and the SCS, and then summarises the legislative history and evolving concept of social credit. It stresses that apart from the conspicuous SCS policy document introduced by the Chinese central government, pilot legislation has already been implemented at the local levels to regulate the collection and processing of social credit data. The third part critically reviews such local legislation (which often uses the term ‘public credit information’) with reference to personal data protection principles. It also highlights the restrictions on the data subjects’ rights that are placed by the uncoordinated legal framework of personal data and the extra-legal regime of personal archive. It argues that existing legislation and proposed regulations require substantial revisions to mitigate the impacts of the SCS on data privacy. This article hopes to lay the groundwork for further legal study related to social credit and big data in China.
大数据背景下的透明自我:隐私与中国社会信用体系立法
中国的社会信用体系(SCS)已经抓住了大数据技术的想象力和力量。该系统于2014年在国家层面启动,旨在评估中国公民在遵守承诺、遵守法律规则、道德规范以及职业道德标准方面的可信度。它本质上是当局和商业部门之间的一个合作项目,对个人和其他实体进行评级。在某些情况下,每个人都会被给予一个社会信用评分或等级。尽管政府声称有良好意愿遏制中国社会各部门不断升级的不诚实行为,但人们担心的是,个人生活的整体将被捕获,公民将受到监控,奥威尔式的国家将成为现实。在这场不平衡的战斗中,个人有可能在国家面前沦为透明的自我。他们不确定是什么影响了他们的社会信用评分,这些评分如何与国家系统相结合,以及他们的数据如何被解释和使用。简而言之,大数据驱动的SCS正使中国公民面临隐私和个人数据以及其他重要利益方面的重大挑战。本文首先梳理了中国大数据社会实验室和社会信用体系建设的背景,然后总结了社会信用的立法历史和概念演变。它强调,除了中国中央政府推出的引人注目的SCS政策文件外,地方一级已经实施了试点立法,以规范社会信用数据的收集和处理。第三部分参照个人资料保护原则,对这些地方立法(通常使用“公共信用信息”一词)进行批判性审查。它还突出了不协调的个人数据法律框架和个人档案的法外制度对数据主体权利的限制。它认为,现有的立法和拟议的法规需要大量修订,以减轻《能力标准说明》对数据隐私的影响。本文希望为进一步开展中国社会信用与大数据相关的法律研究奠定基础。
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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