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Invite colleaguesGDPR’s tools to tackle AI and machine-driven data
Abstract
As technologies and information management systems evolve, machine-based data management and artificial intelligence (AI) continue to multiply and to expand into new fields. Despite the many potential benefits, challenges, if not clear pitfalls, also appear crucial to take into account, not the least from the perspective of privacy and data protection law. Are the benefits merely a continuation of Moore’s law or do they become more negative after all? This paper evaluates the tools that the EU’s General Data Protection Regulation (GDPR) will offer to address the mounting interest in AI and machine learning. The examination will focus on the right to information, right to object, and the notions of pseudonymisation, anynonymisation and data minimisation under the GDPR.
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Author's Biography
Anna Aurora Wennakoski is a lawyer who has served in various legal and compliance roles for a number of international companies in Finland, France and in the USA. Anna has also acted as a researcher, guest lecturer and writer for various universities. Currently, she is a doctoral student at the Faculty of Law of the University of Helsinki, Finland and one of the scholars in the Europaeum Scholars Programme.