Teach Me Like I Am Eight

Complex ideas, explained as simply as if you were eight.

How does a computer learn from examples? Why can a chatbot sound so sure when it is wrong? What really happens between pressing Send and seeing the first words appear?

Teach Me Like I Am Eight: Artificial Intelligence answers these questions with everyday examples, clear diagrams and plain words — then gives you the real technical terms, so you can follow the news, use AI tools wisely and hold your own in a conversation with an expert.

This is not a children’s book. It is written for adults and older teens who are new to AI and want the real ideas without the jargon. No maths or coding needed.

Inside, in 34 short chapters:

• How machines learn — data, patterns, probability, training and what a model really is
• Brain-inspired machines — neurons, layers and deep learning
• How AI handles language — tokens, embeddings, attention and transformers
• How chatbots are built — large language models, pretraining and teaching a model to be helpful
• Why AI gets things wrong — hallucinations, bias, and why AI does not think like you
• AI that sees, hears and creates — computer vision, sound and generative AI
• Making AI more useful — search, tools and agents
• Using AI wisely — testing, human oversight, strengths, limits and the future

Every chapter follows the same simple path:

• An everyday example to start
• A picture that builds the idea
• The real technical words, and where they are used
• A common misunderstanding, cleared up
• A one-minute challenge, with answers

Grounded in real research and real cases — from lawyers who filed court cases an AI had invented to studies of how people over-trust AI suggestions — with sources listed at the back, plus a glossary of more than 100 terms.

Printed in full colour. Big ideas. Simple words. Visual explanations.