AI Explained: A Guide for Non-Technical Readers

Praise for AI Explained “Dame Wendy’s and Pete Rai’s book is indispensable reading for anyone who wants to understand the defining technology of our time. Written for the general reader, it offers a clear explanation of what AI is, how it works, what it can do now and what it may be capable of in the future.”—RISHI SUNAK, Former Prime Minister of the United Kingdom “AI Explained is the rare book that makes artificial intelligence accessible without sacrificing depth. Rai and Hall guide readers through key aspects of AI with remarkable clarity, avoiding jargon while never talking down. I recommend it as essential reading for anyone who wants to understand the technology reshaping our word.”—JAMES MANYIKA, SVP at Google - Alphabet “Broad, deep and accessible, AI Explained is both a history of AI and a tutorial that explains why there is far more to AI than the ‘large language models’ that are currently popular.”—GARY MARCUS, Author of Rebooting AI and Founder and CEO of Geometric Intelligence “Wendy Hall is a true pioneer. Her ability to make complex ideas accessible, and see the human consequences clearly, makes her book with Pete Rai the ideal guide to the AI revolution.”—VERITY HARDING, Author of AI Needs You and one of TIME100’s Most Influential People in AI “Even AI experts can feel overwhelmed by the dizzying progress the field has made over the past decade. What does it all mean? What are the implications for our working and domestic lives? And how does AI actually work? Rai and Hall address these questions and more in a common-sense, no-nonsense manner. This is a go-to guide for anyone who wants to understand what AI is, how it works, and why it matters.”— MICHAEL WOOLDRIDGE, Ashall Professor of the Foundations of Artificial Intelligence, ­University of Oxford “An invaluable comprehensive guide to grasp the history, context, and implications of this woefully misunder­stood subject.”—ALAN KAY, pioneer of graphical user interfaces and object oriented programming “The essential AI 101: how to understand the tech that’s taking over our world.”—ZOE KLEINMAN, BBC Presenter, reporter, and Technology Editor Understand how artificial intelligence actually works, from first principles to generative models AI Explained: A Guide for Non-Technical Readers builds understanding of artificial intelligence from first principles rather than diving in at the top. Written by experienced policy and technical experts, the book walks through rules and logic-based approaches, statistical methods, neural networks, machine learning, and generative models in accessible, structured terms. Each major section concludes with a dedicated use-cases chapter grounding abstract concepts in practical scenarios drawn from healthcare, law, and business. Rather than teaching readers how to build or deploy AI, the book answers a more fundamental question: how do these systems achieve the outcomes they produce? Coverage of AI policy, ethics, and societal impact rounds out the treatment, informed directly by the authors' advisory roles with governments and international bodies. Readers will also find: A structured progression from foundational principles through symbolic, statistical, connective, learning, and generative approaches to AI Real-world use cases connecting each branch of AI to familiar scenarios in professional and everyday contexts Balanced coverage of AI ethics, regulation, and societal impact drawn from direct policy advisory experience Clear explanations of how neural networks, machine learning algorithms, and large language models produce their results An approachable foundation suited equally to cross-disciplinary university courses and independent professional development Written for lawyers, business leaders, policymakers, healthcare professionals, educators, journalists, and other non-technical professionals who need to understand AI rather than build it, this book replaces confusion with structured knowledge of how artificial intelligence systems operate across the full scope of the field. So if you are curious but not confident, informed but not technical, or simply trying to make sense of the rapid changes around you – if you’ve ever felt like AI is something happening to you rather than something you can actively engage with – then this book is for you.