Discover how AI leaders and researchers are using AI to transform the world for the better. In AI for Good: Applications in Sustainability, Humanitarian Action, and Health, a team of veteran Microsoft AI researchers delivers an insightful and fascinating discussion of how one of the world's most recognizable software companies is tacking intractable social problems with the power of Artificial Intelligence (AI). We intend for this book to be available to a broad audience, in particular, those without expertise in Artificial Intelligence or Machine Learning. To make the book more accessible to that audience, we have purposely avoided including too many technical details of the studies. We have avoided the use of mathematical formulae and equations. Interested readers can find those in the references at the end of each chapter. Nonetheless, Artificial Intelligence and Machine Learning tools have their own language and applications and limitations; studies applying Artificial Intelligence and Machine Learning have common processes, practices, and terms. Therefore, in the following chapters, we provide a primer that defines Artificial Intelligence in lay terms, describes the applications and limitations of Artificial Intelligence, provides a brief glossary of commonly used practices and terms used in the application of Artificial Intelligence, and presents an overview of the structure that we applied to each of the chapters.