Understanding Explainable AI: Interpreting XAI Models

Understanding Explainable AI is a clear and practical guide to making sense of how modern AI systems think, decide, and justify their predictions. This book introduces the foundations of Explainable Artificial Intelligence (XAI), explaining why interpretability matters, what types of explanations exist, and how ethical, fair, and responsible AI can be achieved.

Beginning with core concepts such as black-box versus white-box models and interpretable data representations, the book builds a s...