The book "Explainable Artificial Intelligence XAI Concepts enabling tools technologies and applications" is a comprehensive guide to understanding the development and implementation of explainable artificial intelligence (XAI) concepts, enabling tools, and applications. It covers the fundamental principles of XAI, its importance, and its potential impact on various industries and domains. The book provides a detailed overview of the current state of XAI research and its future prospects, highlighting the challenges and opportunities that come with this rapidly evolving field. The book is divided into four main sections: 1. Introduction to XAI: This section provides an overview of XAI, its definition, and its significance in the era of AI. It discusses the need for developing explainable AI systems and the challenges associated with it. 2. XAI Concepts: This section delves into the core concepts of XAI, including feature attribution, model interpretability, and transparency. It explains how these concepts are crucial in making AI models more understandable and accountable. 3.

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