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

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Fundamental Fallacies in Definitions of Explainable AI: Explainable to Whom and Why?,s not surprising, since this area began to be actively centralized and actively developed only 6?years ago. But the strange thing is that the motives not only do not converge but may contradict each other. This indicates that there are fundamental errors in the very construction of different XAI con

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Evaluation Measures and Applications for Explainable AI,rowing size and complexity of these models, it’s becoming more difficult to grasp how they arrive at their forecasts and when they go incorrect or even worse. Now, think of a situation in which we humans could open these black-box learning models and translate the content into a human-understandable

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Explainable Machine Learning for Autonomous Vehicle Positioning Using SHAP,t. One of the major systems influencing the safety of AVs is its navigation system. Road localisation of autonomous vehicles is reliant on consistent accurate Global Navigation Satellite System (GNSS) positioning information. The GNSS relies on a number of satellites to perform triangulation and may

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A Smart System for the Assessment of Genuineness or Trustworthiness of the Tip-Off Using Audio Signip-off providers. Thus, in the proposed work an attempt has been made to help the Law Enforcement (LE) personnel to assess the legitimacy of a Tip-off from a voice call. For the aforesaid objective, four widely used mental states such as ‘Anger’, ‘Happy’, ‘Sadness’, and ‘Neutral’ have been considere