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cs.AI2026
Axiomatic Foundations of Counterfactual Explanations
Leila Amgoud, Martin Cooper
Explaining autonomous and intelligent systems is critical in order to improve trust in their decisions. Counterfactuals have emerged as one of the most compelling forms of explanat…
cs.AI2024
Abductive explanations of classifiers under constraints: Complexity and properties
Martin Cooper, Leila Amgoud
Abductive explanations (AXp's) are widely used for understanding decisions of classifiers. Existing definitions are suitable when features are independent. However, we show that ig…
cs.AI2024
Axiomatic Characterisations of Sample-based Explainers
Leila Amgoud, Martin C. Cooper, Salim Debbaoui
Explaining decisions of black-box classifiers is both important and computationally challenging. In this paper, we scrutinize explainers that generate feature-based explanations fr…