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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Markt Keane

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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. · 0 citations
Preprint Aug 2026

Robust Ambiguity Detection (RAD) From Model- and Feature-Space Consistency

The Robust Ambiguity Detection (RAD) framework is advanced for quantifying predictive ambiguity using two complementary metrics: Model-Space Consistency and Feature-Space Consistency, which provide an interpretable characterisation of the sources of ambiguity and the actions a user may consider in response.

Manya Singh, Markt Keane, A. Pakrashi · 1 citation

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