Interpretable and Trustworthy AI

Users expect proper explanation and interpretability of all the decisions being taken by machine and deep learning (ML/DL) algorithms. Interpretable and Trustworthy AI: Techniques and Frameworks covers key requirements for interpretability and trustworthiness of AI models and how these needs can be met. This book is structured in three main sections exploring artificial intelligence's impact, limitations, and solutions. The first section examines AI's role as a transformative technological parad