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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...

    Atul Rawal, James McCoy, Adrienne Raglin, Danda B. Rawat in Artificial Intelligence in HCI (2023)