So far, little effort has been devoted to developing practical approaches to building and deploying AI systems that meet specific standards and principles. This is despite the importance of regulations such as privacy, fairness, and social equality taking centre stage in discussions around AI. However, failing to meet those standards can give rise to significant lost opportunities for an organization. It may further lead to an organization's demise, as the example of Cambridge Analytica demonstrates. It is, however, possible to pursue a practical approach to designing, developing, and deploying sustainable AI systems that incorporate both business and human values and principles. This book discusses the concept of sustainability in the context of artificial intelligence. To help businesses achieve this objective, the author introduces the sustainable artificial intelligence framework (SAIF), designed as a reference guide in developing and deploying AI systems. The SAIF developed in the book is intended to help decision-makers such as policymakers, boards, C-suites, managers, and data scientists create AI systems that meet ethical principles. By focusing on four pillars related to the socio-economic and political impact of AI, the SAIF creates an environment through which an organization learns to understand its risk and exposure to any undesired consequences of AI, and the impact of AI on its ability to create value in the short, medium, and long term