Explainable, Interpretable, and Transparent AI Systems

Cover
Half Title
Title Page
Copyright Page
Dedication
Table of Contents
Preface
Acknowledgments
About the Editors
List of Contributors
Chapter 1 Unveiling the Power of Explainable AI: Real-World Applications and Implications
Chapter 2 Looking at Exploratory Paradigms of Explainability in Creative Computing
Chapter 3 Applications of XAI in Modern Automotive, Financial, and Manufacturing Sectors
Chapter 4 Explainable AI in Distributed Denial of Service Detection
Chapter 5 Adaptation of XAI for Smart Agriculture Systems
Chapter 6 Explainable Artificial Intelligence for Healthcare Applications Using Random Forest Classifier with LIME and SHAP
Chapter 7 Explainable AI and Its Usefulness in the Business World
Chapter 8 Fair and Explainable Systems: Informed Decision Making in AI/ML
Chapter 9 Interpretation of Deep Network Predictions on Various Data Sets Using LIME
Chapter 10 Comprehensive Study on Social Trust with XAI: Techniques, Evaluation, and Future Direction
Chapter 11 Fuzzy Clustering for Streaming Environment with Explainable Parameter Determination
Chapter 12 Demystifying the Black Box: Unveiling the Decision-Making Process of AI Systems
Chapter 13 Explainable Deep Learning Architectures for Product Recommendations
Chapter 14 Metamorphic Testing for Trustworthy AI
Chapter 15 Software for Explainable AI
Chapter 16 Interpretation and Visualization Techniques in AI Systems and Applications
Chapter 17 A Study on Transparent Recommender Systems
Index