Project description
Novel Bayesian approach for fair, lawful and transparent data processing
The General Data Protection Regulation (GDPR) states data should be processed lawfully, fairly and transparently. With this in mind, the EU-funded 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.
Fields of science
Topic(s)
Call for proposal
ERC-2019-STG
See other projects for this call
Funding Scheme
ERC-STG - Starting Grant
Host institution
BN1 9RH Brighton
United Kingdom
Beneficiaries (2)
BN1 9RH Brighton
48009 Bilbao