Big Data Profiling and Predictive Analytics from the Perspective of GDPR

Q3 Social Sciences
M. Siwicki
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引用次数: 0

Abstract

The text analyses the normative regulations adopted by the Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data (GDPR) in order to answer the question whether the said regulations properly balance the interests of both entities that use predictive analytics and profiling in their economic activity, and of persons whose data they process. As this type of processing is based on big data, the proper analysis of this issue had to begin with determining which types of data processed in such sets can be considered personal information and in what conditions they can be treated as such. Based on these findings, the study analyzed the duties imposed by the GDPR on entities processing personal data in situations when such information has been obtained from big data. This in turn made it possible to assess the adopted normative regulations as well as point to the possible solutions and development paths.
GDPR视角下的大数据分析与预测分析
本文分析了2016年4月27日欧洲议会和理事会关于在个人数据处理和此类数据自由流动方面保护自然人的条例(EU)2016/679通过的规范性法规,以回答上述法规是否适当平衡了使用他们经济活动中的预测分析和分析,以及他们处理数据的人。由于这种类型的处理是基于大数据的,因此对这一问题的适当分析必须首先确定在这种集合中处理的哪些类型的数据可以被视为个人信息,以及在什么条件下可以将其作为个人信息进行处理。基于这些发现,该研究分析了GDPR对处理个人数据的实体在从大数据中获取此类信息的情况下所承担的义务。这反过来又使评估所通过的规范性法规以及指出可能的解决方案和发展道路成为可能。
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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来源期刊
Studia Iuridica Lublinensia
Studia Iuridica Lublinensia Social Sciences-Law
CiteScore
0.80
自引率
0.00%
发文量
47
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