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.

PETE RAI is an independent AI researcher and principal engineer with experience across a range of technology companies. Working at the frontier of applied AI in enterprise contexts, he holds more than two dozen patents and is active in responsible AI initiatives. He brings a practitioner’s perspective on how AI is built, deployed, operated, and governed in real-world settings.

DAME WENDY HALL is Regius Professor of Computer Science at the University of Southampton, a Fellow of the Royal Society and the Royal Academy of Engineering, and a member of the United Nations high-level advisory body on AI. She frequently advises governments and international organizations on the societal and policy impact of AI.