Keeping Your AI Under Control: A Pragmatic Guide to Identifying, Evaluating, and Quantifying Risks

— Shalini Kapoor, Director & CTO – Watson IoT, IBM India

This book covers an essential part of FMEA through ‘The Leash Framework’. Today, we have a framework for AI development and implementations from process and technology standpoint, but we don’t have a framework for designing a responsible AI model with a self-correcting or feedback mechanism to learn from the mistakes and be Responsible for it. This book fills the gap by providing a framework to implement AI in an unbiased way and make it more responsible, make your models more real (if not human). AI models do not have a mind of their own, so this book will help the AI designers to design AI solutions, depicting a Responsible human mind. Go ahead and read this unique perspective around managing risks with AI and making it more Responsible.

— Rahul Kharat, Director, Head of Artificial Intelligence, Eton Solutions LP

I had no idea AI would be such a huge game-changer when we programmed our first expert systems based application in 1996. Today, we don’t need a soothsayer to tell us that AI will drastically impact humankind.

“Keeping your AI under control” not only accounts how AI is changing the world but more importantly gives us guidelines on how AI should to built for high ethical standards. Anand is skilled in converting complicated topics and technical jargon into a simple language; thus, the book will equally appeal to programmers and end-users.

This book and other similar books will help strike a collective debate on how humanity should use a potent tool like AI towards the betterment of all.

— Amit Danglé, Vice President of Customer Success, Saviant Consulting

In Keeping Your AI Under Control, the author explores the inherent risk factors of the widespread implementation of artificial intelligence. While acknowledging the many ways in which AI is an exhilarating technology with endless possibilities. The author also delves into several real-life case studies of AI gone wrong, including Microsoft’s 2016 chat-bot disaster, Uber’s autonomous vehicle fatally wounding a pedestrian, and entire smart home in Germany dangerously malfunctioning because of one bad lightbulb. He expertly addresses the need to challenge our current assumptions about the infallibility of technology.

The importance of data governance, rigorous testing before roll-out, a chain of human accountability, ethics, and much more are all detailed in Keeping Your AI Under Control. Artificial intelligence will not solve all of our problems for good, but it can (and will) present us with new solutions. These solutions can only be achieved with proper planning, continued maintenance, and above all, a foundation of attuned human supervision.