European Workshop on
June 7-9, 2023
A 3-day workshop that brings together researchers working on algorithmic fairness in the context of Europe’s legal and societal framework
Algorithmic fairness is a rapidly growing research area, and the importance of this field is only going to increase over the next years. The discussion predominantly involves US-based researchers, but more and more researchers in Europe are conducting research in this domain.
EWAF’s goal is to foster the dialogue between researchers working on algorithmic fairness in the context of Europe’s legal and societal framework, especially in light of the EU’s attempts to promote ethical AI.
The idea for EWAF'23 is not to simply bring together researchers who happen to be based in Europe but rather to explore the issue of European specificity, learning from sociological consideration and the case studies based on concrete European instances of algorithmic design and regulation that machine learning scholars have encountered in their own work. Furthermore, we also want to explore the implications of the European legislative framework for the debate on fairness in machine learning and AI more broadly.
In 2023, we founded the European Association for Algorithmic Fairness, which will coordinate the future editions of EWAF.
The workshop will take place in person on the campus of the Zurich University of Applied Sciences in Winterthur, Switzerland. With Switzerland being located at the heart of Europe, we hope that we can provide a location that can bring researchers from across the continent together.
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This workshop is partially sponsored by the project Fair Prediction in Health which has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. 898322.
This workshop is partially sponsored by the project Hypatia which has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 835294).