Part 2: Enterprise Risk Observability Model Governance

This section introduces the critical topics of explainability, risk observability, and model governance, and their relevance in the context of cloud computing platforms. The upcoming chapters cover several essential areas, such as model interpretability approaches, measuring and monitoring model drift, audit and compliance standards, and the Enterprise Starter Kit for Fairness, Accountability, and Transparency. The section also explores the concepts of bias removal, model robustness, and adversarial attacks. By reading through the chapters, you will gain a comprehensive understanding of these significant concepts and their impact on the development and deployment of AI models, enabling you to make informed decisions and ensure the ethical and trustworthy use of AI. These topics are discussed in detail across four chapters to provide you with a comprehensive understanding of these important concepts.

This section comprises the...