Data protection by design in AI? The case of federated learning
S. Rossello, R. Díaz Morales, L. Muñoz-González, 'Data Protection by design in AI? The case of federated learning', 2021, Computerrecht: tijdschrift voor informatica en recht, 1-11
12 Pages Posted: 8 Jul 2021
Date Written: May 30, 2021
Abstract
This article investigates some of the data protection implications of an emerging privacy preserving machine learning technique, i.e. federated machine learning. First, it shortly describes how this technique works and focuses on some of the main security threats it faces. Second, it presents some of the ways in which this technique can facilitate compliance with certain principles of the General Data Protection Regulation as well as some of the challenges it may pose under the latter.
Keywords: artificial intelligence, federated learning, data protection by design, GDPR
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