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Nethmie Liyanage

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Conference Sep 2026

Interpreting Multimodal Gender Bias Scores Using Explainable AI

Gender bias in artificial intelligence systems tends to take root in the data itself, yet the tools available for detecting and auditing it are still largely built around individual modalities with no unified way to assess the problem across all of them at once. This challenge is especially pronounced in multimodal set...

Sajini Gunasinghe, M. Hettiarachchi, P. Haddela et al. · 0 citations

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