FAIRTOPIA Published in DaWaK 2026 Proceedings

The EXCALIBUR Project is pleased to share that the conference paper “FAIRTOPIA: A Multi-agent Guardianship Framework for Disrupting Unfair AI Pipelines” is now published in the DaWaK 2026 proceedings.

The paper was authored by Athena Vakali, Ilias Dimitriadis, and Sofia Vei and was presented by Sofia Vei at DaWaK 2026, the 28th International Conference on Big Data Analytics and Knowledge Discovery, held in Graz, Austria.

FAIRTOPIA explores how multi-agent systems can support fairness across AI pipelines. The work proposes fairness guardrails that can help detect, guide, and improve decisions before unfair outcomes emerge.

This contribution is part of EXCALIBUR’s broader work on trustworthy, responsible, and human-centric AI.

Authors: Athena Vakali, Ilias Dimitriadis, Sofia Vei
Presented by: Sofia Vei
Conference: DaWaK 2026, 28th International Conference on Big Data Analytics and Knowledge Discovery
Proceedings: Big Data Analytics and Knowledge Discovery, Lecture Notes in Computer Science, Volume 16861
Pages: 37–42
DOI: 10.1007/978-3-032-34896-8_3

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