Niki Kilbertus
PhD
Technical University of Munich (TUM)
Helmholtz Munich
Socially Beneficial Machine Learning

As machine learning touches upon all areas of our daily lives, it is increasingly deployed to make or support consequential decisions about individuals. Such applications raise concerns about privacy violations, the fairness of algorithms, as well as the long-term impact automated decisions might have on individuals and society as a whole. We address these concerns by building fair, privacy-preserving machine learning models and analyze their impact within the social context.

Academic Track
October 1st, 2016 - September 14th, 2020
September 1st, 2017 - June 1st, 2018
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