Addressing Big Data and AI Challenges: A Taxonomy and Why the GDPR Cannot Provide a One-size-fits-all Solution

M. Tzanou
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Abstract

The paper challenges the assumption that data privacy frameworks in general and the GDPR in particular can provide an appropriate regulatory solution for big data. It argues that in order to be able to properly reflect on regulatory approaches that grasp with big data challenges, closer attention should be paid to these particular challenges. In this respect, this chapter makes three distinct contributions to the debate regarding regulatory approaches to big data: First, it develops a taxonomy of big data challenges that allows a comprehensive overview of the issues at stake. Second, it examines the capabilities and limitations of the GDPR to address the risks identified in the proposed taxonomy. Third, it offers some suggestions on the pathways that regulators should be considering when approaching big data and AI.
应对大数据和人工智能的挑战:一个分类和为什么GDPR不能提供一个通用的解决方案
本文挑战了一般数据隐私框架,特别是GDPR可以为大数据提供适当监管解决方案的假设。本文认为,为了能够正确地反思应对大数据挑战的监管方法,应该更加关注这些特殊的挑战。在这方面,本章对关于大数据监管方法的辩论做出了三个不同的贡献:首先,它开发了一个大数据挑战的分类,允许对利害攸关的问题进行全面概述。其次,它检查了GDPR的能力和局限性,以解决拟议分类法中确定的风险。第三,它就监管机构在处理大数据和人工智能时应该考虑的途径提出了一些建议。
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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