Chapter 11: End User-Centered Artificial Intelligence
Over the last 10 chapters of this book, we have traveled over the entire landscape of Explainable AI (XAI), covering different types of explainability methods used in practice for different dimensions of explainability (data, model, outcome, and the end users). XAI is an active field of research that I think is yet to reach its full potential. But the field is growing rapidly, along with the broader domain of AI, and we will witness many new algorithms, approaches, and tools being developed in the future. Most likely, the new methods and tools of XAI will be better than the existing ones and will be able to tackle some of the open challenges of XAI discussed in Chapter 10, XAI Industry Best Practices. Unfortunately, we cannot extend the scope of this book to cover all possible approaches to XAI. However, the goal of this book is to provide a blend of conceptual understanding of the field with the required practical skills so that...