Artificial intelligence is transforming nearly every aspect of modern life, yet one fundamental misconception continues to shape how people use and trust it: the belief that AI understands what it is saying.
It does not.
Why AI Gets Things Wrong explains why today's most advanced AI systems are remarkably powerful while remaining fundamentally different from human intelligence. Rather than reasoning, understanding, or discovering objective truth, modern AI predicts the most probable sequence of words based on patterns learned from enormous amounts of data. That distinction explains why AI can produce brilliant insights one moment and confidently deliver completely incorrect information the next.
Drawing on decades of experience in cybersecurity, military operations, enterprise technology, and responsible AI, Dennis Mercer takes readers beyond the marketing and media hype to reveal how artificial intelligence actually works. Complex topics including neural networks, tokens, attention mechanisms, probability, hallucinations, bias, explainability, and human oversight are presented in clear, accessible language without requiring a technical background.
The book also explores the real-world consequences of misunderstanding AI. Organizations increasingly rely on AI to support business strategy, software development, cybersecurity, healthcare, finance, education, and government operations. When users mistake statistical prediction for genuine understanding, the results can include costly business decisions, security failures, misinformation, and misplaced trust.
Rather than arguing for or against artificial intelligence, Why AI Gets Things Wrong offers a practical framework for using AI responsibly. Readers will learn where AI excels, where human expertise remains essential, and how to evaluate AI-generated information with greater confidence and critical thinking.
Whether you are an executive developing an AI strategy, a technology professional implementing AI solutions, a student seeking to understand this rapidly evolving field, or simply someone curious about the technology reshaping society, this book provides the knowledge needed to separate fact from fiction and informed judgment from unwarranted confidence.
Understanding AI begins by understanding what it is not.
