Explainable Artificial Intelligence (XAI): Concepts, enabling tools, technologies and applications

In a rapidly evolving technological landscape, the need for transparency in artificial intelligence has never been more crucial. This book serves as a comprehensive guide to explainable artificial intelligence (XAI), discussing the fundamental concepts that underpin this emerging field. It delves into the enabling tools and technologies that facilitate the development of AI systems, ensuring they are not only powerful but also interpretable and accountable.

The authors, a team of experienced researchers, explore a diverse range of applications, illustrating how XAI can be integrated into various sectors. They address the challenges faced by practitioners and provide insights on best practices to ensure that AI systems operate responsibly and ethically. By bridging the gap between complex algorithms and user understanding, this work aims to empower stakeholders to make informed decisions in the age of AI.