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EU Digital Law in the Artificial Intelligence (AI) Era: Towards a New Privacy Maturity Methodology

  • 2025
  • OriginalPaper
  • Chapter
Published in:
Author
Kosmas Pipyros
Published in
EU Digital Law in the AI Era
Publisher
Springer Nature Switzerland

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Abstract

This chapter delves into the EU's General Data Protection Regulation (GDPR) and its significant impact on data privacy, emphasizing the need for a robust privacy maturity methodology. It critically analyzes the concept of 'privacy risk' and the challenges in assessing 'high-risk' scenarios, highlighting the ambiguity in the GDPR's definition of 'privacy risk'. The text explores existing Data Protection Impact Assessment (DPIA) methodologies and industry standards, such as ISO, ENISA, and NIST frameworks, to enhance the DPIA process. It introduces a new privacy maturity methodology that incorporates legal requirements and best practices with qualitative and quantitative analysis methods. The methodology includes a five-tiered maturity model to assess and improve an organization's privacy management processes. The chapter concludes by emphasizing the importance of integrating this methodology into organizational frameworks to ensure compliance with GDPR and protect individuals' rights and freedoms.
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previous chapter Regulating Algorithmic Management of Work at EU Level: The Adequacy of the Platform Work Directive and the AI Act
next chapter The Impact of AI on Data Protection: Evolution of Court of Justice of the European Union Case Law Regarding the General Data Protection Regulation (GDPR) in the Artificial Intelligence Era
Title
EU Digital Law in the Artificial Intelligence (AI) Era: Towards a New Privacy Maturity Methodology
Author
Kosmas Pipyros
Copyright Year
2025
Book
EU Digital Law in the AI Era

Print ISBN: 978-3-031-96742-9

Electronic ISBN: 978-3-031-96743-6

Copyright Year: 2025

DOI
https://doi.org/10.1007/978-3-031-96743-6_4
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