Academic Journal
Understanding explainable artificial intelligence techniques: a comparative analysis for practical application
| العنوان: | Understanding explainable artificial intelligence techniques: a comparative analysis for practical application |
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| المؤلفون: | Bhatnagar, Shweta, Agrawal, Rashmi |
| المساهمون: | NA |
| المصدر: | Bulletin of Electrical Engineering and Informatics; Vol 13, No 6: December 2024; 4451-4455 ; 2302-9285 ; 2089-3191 ; 10.11591/eei.v13i6 |
| بيانات النشر: | Institute of Advanced Engineering and Science |
| سنة النشر: | 2024 |
| مصطلحات موضوعية: | Computer Applications, Explainable artificial intelligence, Explainable artificial intelligence models, Explainable artificial intelligence techniques, Local interpretable model-agnostic explanations, Shapley additive explanations |
| الوصف: | Explainable artificial intelligence (XAI) uses artificial intelligence (AI) tools and techniques to build interpretability in black-box algorithms. XAI methods are classified based on their purpose (pre-model, in-model, and post-model), scope (local or global), and usability (model-agnostic and model-specific). XAI methods and techniques were summarized in this paper with real-life examples of XAI applications. Local interpretable model-agnostic explanations (LIME) and shapley additive explanations (SHAP) methods were applied to the moral dataset to compare the performance outcomes of these two methods. Through this study, it was found that XAI algorithms can be custom-built for enhanced model-specific explanations. There are several limitations to using only one method of XAI and a combination of techniques gives complete insight for all stakeholders. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| Relation: | https://beei.org/index.php/EEI/article/view/8378/3986; https://beei.org/index.php/EEI/article/view/8378 |
| DOI: | 10.11591/eei.v13i6.8378 |
| الاتاحة: | https://beei.org/index.php/EEI/article/view/8378 https://doi.org/10.11591/eei.v13i6.8378 |
| Rights: | Copyright (c) 2024 Institute of Advanced Engineering and Science ; https://creativecommons.org/licenses/by-sa/4.0 |
| رقم الانضمام: | edsbas.5772856 |
| قاعدة البيانات: | BASE |
| DOI: | 10.11591/eei.v13i6.8378 |
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