Tzanou, M (2020) Addressing Big Data and AI Challenges: A Taxonomy and Why the GDPR Cannot Provide a One-size-fits-all Solution. In: Health Data Privacy under the GDPR: Big Data Challenges and Regulatory Responses. Routledge. ISBN 9780367077143 (In Press)

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Abstract

The chapter 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.

Item Type: Book Section
Subjects: K Law > K Law (General)
Divisions: Faculty of Humanities and Social Sciences > School of Law
Depositing User: Symplectic
Date Deposited: 22 Jul 2020 15:35
Last Modified: 24 Nov 2021 01:30
URI: https://eprints.keele.ac.uk/id/eprint/8415

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