Explainable Artificial Intelligence for Trustworthy Decisions in Smart Applications / edited by Nicu Bizon, Bhargav Appasani.

Format:

Book

Author/Creator:

Bizon, Nicu.

Contributor:

Appasani, Bhargav.

Series:

Computer Science Series

Language:

English

Subjects (All):

Artificial intelligence.

Internet of things.

Operations research.

Electric power distribution.

Architecture.

Sustainability.

Artificial Intelligence.

Internet of Things.

Operations Research and Decision Theory.

Energy Grids and Networks.

Cities, Countries, Regions.

Local Subjects:

Artificial Intelligence.

Internet of Things.

Operations Research and Decision Theory.

Energy Grids and Networks.

Cities, Countries, Regions.

Sustainability.

Physical Description:

1 online resource (454 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

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.

Contents:

Explainable Artificial Intelligence and Trust in Smart Applications: Definition, Evolution and Challenges

Explainable AI Models and Algorithms: Interpretability and Trade-offs

Large Language Models and XAI: Use-cases, Dependency and Challenges

Interpretable and Trustworthy XAI Models for Healthcare

Medical Diagnosis System based on Explainable AI and Blockchain

Fairness, Explainability, and Regulation for AI in Finance: Challenges and Prospects

Explainable AI based Decision Making for Safe Autonomous Vehicles

Explainable Artificial Intelligence for Efficient Energy Management System in Smart Grid 3.0

Explainable AI for Future Smart Cities: Architectures, Applications and Challenges

Explainble for Entertainment, Education, and Environment: Case Studies, and Future Trends

Ethical Considerations in Using Explainable AI for Smart Applications: Model Bias, Moral and Regulatory Considerations

An Explainable AI Framework for Country Development Analysis and Prediction using Fuzzy Logic and Deep Learning Neural Networks

Explianable AI-based cyber-risk management framework to combat Cyber Attacks

Explainable AI for Decision-Making Processes in Active Distribution Grids

Explainable AI for Trustworthy Decisions in Self-Sustainable Community of Electricity Prosumers

Explainability and Decision Making with Generative AI in Smart Applications

XAI-based Breast Cancer Detection from Ultra-sound Images.

ISBN:

3-031-97007-1

9783031970078

OCLC:

1547923369