Explainable Artificial Intelligence for Trustworthy Decisions in Smart Applications

By: Nicu Bizon and Bhargav Appasani

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Synopsis: This book introduces readers to the field of explainable artificial intelligence (XAI), which aims to make AI models more transparent and trustworthy. It explores how XAI can enhance trust and confidence in AI models and their decisions across various innovative applications in fields such as healthcare, finance, and engineering, where AI can significantly impact quality of life. Readers will discover emerging trends related to XAI—such as large language models, generative AI, and natural language processing—that are transforming the landscape of AI research and applications. Featuring an interdisciplinary overview, the book examines the state of the art, challenges, and opportunities in XAI, accompanied by clear examples and detailed explanations of its methods and techniques. The book also offers a balanced perspective on the limitations and trade-offs of XAI and outlines future directions and opportunities for both research and practice. This book is intended for anyone who wants to learn more about XAI and understand how it can enhance trust in AI models.

Book Quality:: Publisher Quality
ISBN-13:: 9783031970078
Related ISBNs:: 9783031970061
Publisher:: Springer Nature Switzerland
Date of Addition:: 10/12/25
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Art and Architecture, Computers and Internet, Business and Finance, Technology, Politics and Government
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Bhargav Appasani
Edited by:: Nicu Bizon