Fourth European Workshop on Algorithmic Fairness (EWAF’25)

Hilde Weerts, Mykola Pechenizkiy, Doris Allhutter, Ana Maria Correa, Thomas Grote, Cynthia Liem
Proceedings of Fourth European Workshop on Algorithmic Fairness, PMLR 294:1-9, 2025.

Abstract

The European Workshop on Algorithmic Fairness (EWAF) aims to foster dialogue between researchers working on algorithmic fairness in the context of Europe’s legal and societal framework, especially in light of the European Union’s attempts to promote ethical AI and the turn to AI for the common good. EWAF welcomes submissions from multiple disciplines, including but not limited to computer science, law, philosophy, and social science, as well as interdisciplinary and transdisciplinary work. The fourth edition (EWAF’25) will provide a dedicated venue for interdisciplinary discourse on algorithmic fairness via keynotes, paper presentations, a panel discussion, and interactive sessions.

Cite this Paper

BibTeX
@InProceedings{pmlr-v294-weerts25a, title = {Fourth European Workshop on Algorithmic Fairness (EWAF’25)}, author = {Weerts, Hilde and Pechenizkiy, Mykola and Allhutter, Doris and Correa, Ana Maria and Grote, Thomas and Liem, Cynthia}, booktitle = {Proceedings of Fourth European Workshop on Algorithmic Fairness}, pages = {1--9}, year = {2025}, editor = {Weerts, Hilde and Pechenizkiy, Mykola and Allhutter, Doris and Corrêa, Ana Maria and Grote, Thomas and Liem, Cynthia}, volume = {294}, series = {Proceedings of Machine Learning Research}, month = {30 Jun--02 Jul}, publisher = {PMLR}, pdf = {https://raw.githubusercontent.com/mlresearch/v294/main/assets/weerts25a/weerts25a.pdf}, url = {https://proceedings.mlr.press/v294/weerts25a.html}, abstract = {The European Workshop on Algorithmic Fairness (EWAF) aims to foster dialogue between researchers working on algorithmic fairness in the context of Europe’s legal and societal framework, especially in light of the European Union’s attempts to promote ethical AI and the turn to AI for the common good. EWAF welcomes submissions from multiple disciplines, including but not limited to computer science, law, philosophy, and social science, as well as interdisciplinary and transdisciplinary work. The fourth edition (EWAF’25) will provide a dedicated venue for interdisciplinary discourse on algorithmic fairness via keynotes, paper presentations, a panel discussion, and interactive sessions.} }
Endnote
%0 Conference Paper %T Fourth European Workshop on Algorithmic Fairness (EWAF’25) %A Hilde Weerts %A Mykola Pechenizkiy %A Doris Allhutter %A Ana Maria Correa %A Thomas Grote %A Cynthia Liem %B Proceedings of Fourth European Workshop on Algorithmic Fairness %C Proceedings of Machine Learning Research %D 2025 %E Hilde Weerts %E Mykola Pechenizkiy %E Doris Allhutter %E Ana Maria Corrêa %E Thomas Grote %E Cynthia Liem %F pmlr-v294-weerts25a %I PMLR %P 1--9 %U https://proceedings.mlr.press/v294/weerts25a.html %V 294 %X The European Workshop on Algorithmic Fairness (EWAF) aims to foster dialogue between researchers working on algorithmic fairness in the context of Europe’s legal and societal framework, especially in light of the European Union’s attempts to promote ethical AI and the turn to AI for the common good. EWAF welcomes submissions from multiple disciplines, including but not limited to computer science, law, philosophy, and social science, as well as interdisciplinary and transdisciplinary work. The fourth edition (EWAF’25) will provide a dedicated venue for interdisciplinary discourse on algorithmic fairness via keynotes, paper presentations, a panel discussion, and interactive sessions.
APA
Weerts, H., Pechenizkiy, M., Allhutter, D., Correa, A.M., Grote, T. & Liem, C.. (2025). Fourth European Workshop on Algorithmic Fairness (EWAF’25). Proceedings of Fourth European Workshop on Algorithmic Fairness, in Proceedings of Machine Learning Research 294:1-9 Available from https://proceedings.mlr.press/v294/weerts25a.html.

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