Fifth European Conference on Algorithmic Fairness (ECAF’26)

Tijl De Bie, MaryBeth Defrance, Toon Calders, Dennis Nguyen
Proceedings of Fifth European Conference on Algorithmic Fairness, PMLR 350:1-7, 2026.

Abstract

The European Conference on Algorithmic Fairness (ECAF) 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. ECAF 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 fifth edition (ECAF’26) 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-v350-de-bie26a, title = {Fifth European Conference on Algorithmic Fairness (ECAF’26)}, author = {De Bie, Tijl and Defrance, MaryBeth and Calders, Toon and Nguyen, Dennis}, booktitle = {Proceedings of Fifth European Conference on Algorithmic Fairness}, pages = {1--7}, year = {2026}, editor = {De Bie, Tijl and Defrance, MaryBeth and Calders, Toon and Nguyen, Dennis}, volume = {350}, series = {Proceedings of Machine Learning Research}, month = {02--04 Sep}, publisher = {PMLR}, pdf = {https://raw.githubusercontent.com/mlresearch/v350/main/assets/de-bie26a/de-bie26a.pdf}, url = {https://proceedings.mlr.press/v350/de-bie26a.html}, abstract = {The European Conference on Algorithmic Fairness (ECAF) 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. ECAF 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 fifth edition (ECAF’26) 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 Fifth European Conference on Algorithmic Fairness (ECAF’26) %A Tijl De Bie %A MaryBeth Defrance %A Toon Calders %A Dennis Nguyen %B Proceedings of Fifth European Conference on Algorithmic Fairness %C Proceedings of Machine Learning Research %D 2026 %E Tijl De Bie %E MaryBeth Defrance %E Toon Calders %E Dennis Nguyen %F pmlr-v350-de-bie26a %I PMLR %P 1--7 %U https://proceedings.mlr.press/v350/de-bie26a.html %V 350 %X The European Conference on Algorithmic Fairness (ECAF) 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. ECAF 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 fifth edition (ECAF’26) will provide a dedicated venue for interdisciplinary discourse on algorithmic fairness via keynotes, paper presentations, a panel discussion, and interactive sessions.
APA
De Bie, T., Defrance, M., Calders, T. & Nguyen, D.. (2026). Fifth European Conference on Algorithmic Fairness (ECAF’26). Proceedings of Fifth European Conference on Algorithmic Fairness, in Proceedings of Machine Learning Research 350:1-7 Available from https://proceedings.mlr.press/v350/de-bie26a.html.

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