Preface

Artificial intelligence has moved from a specialist research field into everyday life. People encounter AI when they search for information, use a navigation application, receive a product recommendation, translate a message, check a photograph, interact with a chatbot, or ask a system to draft a report. Organisations use AI to classify information, forecast demand, detect anomalies, assist customer service, generate software, and support analysis. These applications create opportunities, but they also introduce questions about accuracy, privacy, fairness, employment, intellectual property, security, accountability, and human judgement.

This book is designed to answer a practical question: what should an informed person or organisation know about AI today, and what is needed to use it well? It does not assume that readers are programmers. It explains key concepts in plain language, then moves from everyday use to organisational adoption, governance, evaluation, and future readiness.

The central argument is that useful AI adoption requires more than access to a tool. It requires a clear purpose, suitable data, capable people, secure processes, careful testing, transparent accountability, and a willingness to measure outcomes. AI can support human work, but it should not remove human responsibility.