The General Data Protection Regulation (GDPR) states
data should be processed lawfully, fairly and
transparently. With this in mind, BayesianGDPR project
aims to integrate the legal non-discriminatory
principles of GDPR into automated machine-learning
systems in a transparent manner. It will do so by
using a novel Bayesian approach to model all sources
of uncertainty, and taking into account feedback from
humans and future consequences of their outputs.
BayesianGDPR will provide organisations that rely on
machine learning technologies with concrete tools
allowing them compliance with the non-discriminatory
principles of GDPR and similar laws. The project's
achievements will have an impact on computational law
research and its integration into mainstream legal
practice. It will also promote public confidence in
machine learning systems.
Funded by European Research Council (ERC): 1 April
2020 - 31 March 2025 (€ 1,443,697).