This book explores the growing focus on artificial intelligence (AI) systems in both industry and academia. It evaluates and justifies AI applications while enhancing trust in AI outcomes and aiding comprehension of AI feature development. Key topics include an overview of explainable AI, black box model understanding, interpretability techniques, practical XAI applications, and future trends and challenges in XAI.
Technical topics discussed in the book include:
Explainable AI overview
Understanding black box models
Techniques for model interpretability
Practical applications of XAI
Future trends and challenges in XAI