Bayesian Models and Algorithms for Fairness and Transparency

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).