Titlebook: Explainable AI: Foundations, Methodologies and Applications; Mayuri Mehta,Vasile Palade ,Indranath Chatterjee Book 2023 The Editor(s) (if

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Black Box Models for eXplainable Artificial Intelligence,o multiple small options for the IDS area. This chapter aims to implement the arrangement of issues labeled in the various black box methods. This survey helps the researcher to understand the classification of various black box models.

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Methods and Metrics for Explaining Artificial Intelligence Models: A Review, For clarity on the XAI implementation stage, Pre-model, In-model, and Post-model explainability are elaborated along with the model-agnostic and model-specific techniques. The chapter concludes with a brief discussion on a simple use-case of implementing the XAI method in a real-life problem follow

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Explainable Machine Learning for Autonomous Vehicle Positioning Using SHAP, is a safety critical one and thus requires a qualitative assessment of the reasons for the predictions of the WhONet model at any point of use. There is therefore the need to provide explanations for the WhONet’s predictions to justify its reliability and thus provide a higher level of transparency

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An Overview of Explainable AI Methods, Forms and Frameworks,

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