Contextual Importance and Utility in Python: New Functionality and Insights with the py-ciu Package
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866910570306863104 |
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| author | Främling, Kary |
| author_facet | Främling, Kary |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_09957 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Contextual Importance and Utility in Python: New Functionality and Insights with the py-ciu Package Främling, Kary Artificial Intelligence I.2.4 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. |
| title | Contextual Importance and Utility in Python: New Functionality and Insights with the py-ciu Package |
| topic | Artificial Intelligence I.2.4 |
| url | https://arxiv.org/abs/2408.09957 |