Everyone has an agenda about artificial intelligence. The people building it want you amazed. The people afraid of it want you scared. This book has one job: to explain what it actually is, without either agenda. AI Explained is a plain-language, no-hype, no-doom guide to what artificial intelligence actually is, how it actually works, and what it means for your job, your privacy, and your daily life. No equations, no jargon left unexplained, and no confident predictions the evidence doesn’t support. Inside: how large language models actually generate text, one statistically likely word at a time — and why that same mechanism explains both their genuine usefulness and their most famous failure, the tendency to confidently state things that simply aren’t true. A history of AI’s previous boom-and-bust cycles, the best inoculation available against today’s overconfident predictions in either direction. An honest, hedged treatment of what AI means for your job — not the reassurance you want to hear, not the panic headlines push, but what the actual evidence supports. Inside you’ll find: Fourteen full-page illustrations Twenty-one chapters, no jargon, no equations A full glossary of AI terms and a further-reading guide Ten common AI myths, debunked with the mechanism behind each one Honest chapters on AI safety, regulation, data privacy, and the real energy cost of the technology A short FAQ answering the questions this book gets asked most often Whether you’re trying to use these tools better, worried about what they mean for your work, or just tired of both the hype and the doom, AI Explained gives you an accurate, durable mental model — one built to stay useful long after this specific edition stops being current.
