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Contextual Importance and Utility in Python: New Functionality and Insights with the py-ciu Package

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arxiv 2408.09957 v1 pith:AC5NAL74 submitted 2024-08-19 cs.AI

Contextual Importance and Utility in Python: New Functionality and Insights with the py-ciu Package

classification cs.AI
keywords contextualimportancepy-ciupythonutilityacademiaallowingassess
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The availability of easy-to-use and reliable software implementations is important for allowing researchers in academia and industry to test, assess and take into use eXplainable AI (XAI) methods. This paper describes the \texttt{py-ciu} Python implementation of the Contextual Importance and Utility (CIU) model-agnostic, post-hoc explanation method and illustrates capabilities of CIU that go beyond the current state-of-the-art that could be useful for XAI practitioners in general.

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