ERC Starting Grant · 2019
Bayesian Models and Algorithms for Fairness and Transparency
EU's GDPR prescribes that "Personal Data shall be processed lawfully, fairly, and in a transparent manner." The vision of this BayesianGDPR project is to integrate into automated machine learning systems using a novel Bayesian approach, in a transparent manner, the legal non-discriminatory principles of GDPR, taking into account feedback from humans and future consequences of their outputs. We aim to achieve this ambitious vision by 1) developing a machine learning framework for addressing fairness in classification problems and beyond, and under uncertainty about data, models, and predictions about future data (algorithmic fairness under uncertainty), 2) extending the framework to a…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.