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cs.AI2026
A Causal Argumentation Method for Explainability of Machine Learning Models
Henry Salgado, Meagan R. Kendall, Martine Ceberio
Explainable AI (XAI) methods identify which features are relevant to a model's predictions but often fail to clarify why certain decisions are made. In this work, we present a nove…
cs.AI2026
Causal Discovery for Explainable AI: A Dual-Encoding Approach
Henry Salgado, Meagan R. Kendall, Martine Ceberio
Understanding causal relationships among features is fundamental for explaining machine learning model decisions. However, traditional causal discovery methods face challenges with…