The Multifaced Nature of Bias in AI: Impact on Model Generalization, Robustness, and Fairness

22 October 2025

At last week’s EU AI Fairness Cluster meeting in Brussels, Eirini presented insights on the different forms of bias in AI in a talk titled "The Multifaced Nature of Bias in AI: Impact on Model Generalization, Robustness, and Fairness". The talk drew on experiences from previous research projects (MAMMOth and STELAR), academic discussions, and a book chapter on the same topic developed from a past INDOR lecture series at UniBW.

Slides are available here.

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