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.
Speakers
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