Author

Greta Warren

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#explainable ai Conference Open access Oct 2026

Explaining Time Series Classifications Counterfactually: A Human-Centered Evaluation

Counterfactual explanations can promote accountability, fairness, and transparency in AI-supported decision-making by demonstrating how changes in input data can alter outcomes, offering actionable feedback for users to revise unfavorable decisions. However, the majority of counterfactual algorithms focus on tabular an...

Eoin Delaney, Greta Warren, Derek Greene et al. · Proceedings of the AAAI/ACM... · 0 citations

Preprint Aug 2026

MMMMM: A Unified Taxonomy for Investigating the Mechanisms of Multilingual MultiModal Misinformation

A novel, comprehensive taxonomy of multimodal misinformation grounded in an in-depth qualitative analysis of the data and prior theoretical work is developed, which leads to previously undocumented insights about how social media users combine images with text to spread misinformation in the wild.

Nadav Borenstein, Greta Warren, Desmond Elliott et al. · 0 citations

Jun 2026

The Heterogeneous Safety Impacts of Benign Multilingual Fine-Tuning

It is found that safety outcomes are highly sensitive to both the choice of fine-tuning language and the evaluation language, with adversarial compliance rates increasing four-fold in some settings.

Will Hawkins, Kai Rawal, Jonathan Rystrøm et al. · arXiv.org · 0 citations