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Chapter and Conference Paper
A Quantitative Comparison of Causality and Feature Relevance via Explainable AI (XAI) for Robust, and Trustworthy Artificial Reasoning Systems
Challenges related to causal learning remain a major issue for artificial reasoning systems. Similar to other ML approaches, robust and trustworthy explainability is needed to support the underlying tasks. Thi...