Foundations of Algorithmic Fairness

12 and 16 March, 2021

Starting at 2pm CET

As machine learning becomes more and more spread in our society, the potential risk of using algorithms that behave unfairly is rising. As a result there is growing interest to design learning methods that meet fairness requirements. Several ELLIS units across Europe decided to come together and organize a 2 days workshop on the topic of algorithmic fairness. The aim of this event is to provide a platform for presenting recent advances in this area, with a focus on algorithms foundations, as well as discussing future research opportunities. During these two days our invited speakers are going to present the latest developments covering a variety of learning problems.


MPI for Security and Privacy

University of Oslo

Lancaster University

Université Gustave Eiffel

Carnegie Mellon University

University of Pennsylvania

MPI for Intelligent Systems

University College London

Carnegie Mellon University

IBM Research