Bridging Explainability and Interpretability in AI-driven SCM Projects to Enhance Decision-Making
New AI-based systems implementation in companies is steadily expanding, paving the way for novel organizational sequences. The increasing involvement of end-users has also garnered interest in AI explainability. However, AI explainability continues to be a serious concern, particularly in convention...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_01002.pdf |
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| _version_ | 1841554726455345152 |
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| author | El Oualidi Taoufik Assar Saïd |
| author_facet | El Oualidi Taoufik Assar Saïd |
| author_sort | El Oualidi Taoufik |
| collection | DOAJ |
| description | New AI-based systems implementation in companies is steadily expanding, paving the way for novel organizational sequences. The increasing involvement of end-users has also garnered interest in AI explainability. However, AI explainability continues to be a serious concern, particularly in conventional fields of activity where end-users play an essential role in the large-scale deployment of AI-based solutions. To address this challenge, managing the close relationship between explainability and interpretability deserves particular attention to enable end-users to act and decide with confidence. |
| format | Article |
| id | doaj-art-af93238a356a45bbb657bc99f3d93e94 |
| institution | Kabale University |
| issn | 2271-2097 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj-art-af93238a356a45bbb657bc99f3d93e942025-01-08T10:58:54ZengEDP SciencesITM Web of Conferences2271-20972024-01-01690100210.1051/itmconf/20246901002itmconf_maih2024_01002Bridging Explainability and Interpretability in AI-driven SCM Projects to Enhance Decision-MakingEl Oualidi Taoufik0Assar Saïd1Université Paris-Saclay, Univ Evry, IMT-BS, LITEMUniversité Paris-Saclay, Univ Evry, IMT-BS, LITEMNew AI-based systems implementation in companies is steadily expanding, paving the way for novel organizational sequences. The increasing involvement of end-users has also garnered interest in AI explainability. However, AI explainability continues to be a serious concern, particularly in conventional fields of activity where end-users play an essential role in the large-scale deployment of AI-based solutions. To address this challenge, managing the close relationship between explainability and interpretability deserves particular attention to enable end-users to act and decide with confidence.https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_01002.pdf |
| spellingShingle | El Oualidi Taoufik Assar Saïd Bridging Explainability and Interpretability in AI-driven SCM Projects to Enhance Decision-Making ITM Web of Conferences |
| title | Bridging Explainability and Interpretability in AI-driven SCM Projects to Enhance Decision-Making |
| title_full | Bridging Explainability and Interpretability in AI-driven SCM Projects to Enhance Decision-Making |
| title_fullStr | Bridging Explainability and Interpretability in AI-driven SCM Projects to Enhance Decision-Making |
| title_full_unstemmed | Bridging Explainability and Interpretability in AI-driven SCM Projects to Enhance Decision-Making |
| title_short | Bridging Explainability and Interpretability in AI-driven SCM Projects to Enhance Decision-Making |
| title_sort | bridging explainability and interpretability in ai driven scm projects to enhance decision making |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_01002.pdf |
| work_keys_str_mv | AT eloualiditaoufik bridgingexplainabilityandinterpretabilityinaidrivenscmprojectstoenhancedecisionmaking AT assarsaid bridgingexplainabilityandinterpretabilityinaidrivenscmprojectstoenhancedecisionmaking |