Introduction

Abstract

The machine ethics were mostly a topic for science fiction before the twenty-first century. The easy access and low cost of data storage and computing capabilities have meant that the use of machine-driven intelligence has increased significantly in the last two decades and the topic is not one for entertainment or a theoretical one anymore. The machine learning algorithms or AI now impacts our lives in innumerable ways – making decisions that can have material impact on the lives of the individuals affected by these decisions. Our experience has shown us that all roles within a product team contribute to building an effective AI product, and, in this book, we have tried to cover the content from the point of view of all the roles and not just the data engineers and the data scientists.