Fifth European Conference on Algorithmic Fairness
About This Conference
The Fifth European Conference on Algorithmic Fairness (ECAF 2026) brings together researchers and practitioners working to ensure that automated decision-making systems treat all individuals and groups equitably. As algorithms increasingly shape access to credit, employment, healthcare, and justice, the need for rigorous fairness analysis has never been more urgent.
ECAF 2026 covers bias detection and mitigation, fairness metrics, transparency, accountability, and the societal impact of AI systems. The conference bridges computer science, law, ethics, and social science, making it essential for researchers in machine learning and AI ethics, legal scholars, policymakers, and industry practitioners seeking to build fairer algorithmic systems.
ECAF 2026 covers bias detection and mitigation, fairness metrics, transparency, accountability, and the societal impact of AI systems. The conference bridges computer science, law, ethics, and social science, making it essential for researchers in machine learning and AI ethics, legal scholars, policymakers, and industry practitioners seeking to build fairer algorithmic systems.
Details
Start Date
Sep 02, 2026
End Date
Sep 02, 2026
Deadline
May 01, 2026
Format
In-Person
Views
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