Artificial intelligence is everywhere. It writes emails, recommends what we watch, answers our questions, and is quietly changing the way we work. Yet, despite using AI almost every day, many of us still don’t fully understand what it can actually do—or what it absolutely can’t. (Including myself). That’s exactly why Making Sense of AI caught my attention. I expected another book explaining AI tools. Instead, I found a refreshingly practical guide that focuses on something far more important: developing good judgment in an AI-driven world.

A Refreshingly Practical AI Book for Non-Technical Readers

One thing I appreciated from the very beginning is that Delphin B. Kyubwa doesn’t assume the reader has a technical background. In fact, the book makes it clear that it isn’t written for programmers or AI engineers. It’s written for ordinary people who use AI at work, in business, in education, or simply in everyday life.

The language is simple, the explanations are clear, and complex ideas are broken down using relatable examples and analogies. Instead of overwhelming readers with technical jargon, the author focuses on helping them understand how AI works, why it sometimes makes mistakes, and where human judgment should always remain in control.

More Than AI Tools—It’s About AI Literacy

What makes this book different is its central message: AI literacy is not about learning every new tool that appears. It’s about learning how to question AI, evaluate its outputs, and use it responsibly.

The book is thoughtfully structured into four parts, beginning with AI fundamentals before moving into its limitations, workplace applications, and the ethical responsibilities that come with widespread adoption. Rather than encouraging blind trust or fear, it encourages thoughtful use.

I particularly enjoyed the recurring reminder that AI should assist human decision-making—not replace it. That’s a message many people need to hear, especially when AI often appears more confident than it actually is.

Clear Examples That Make Difficult Concepts Easy

One of the book’s greatest strengths is its teaching style.

Instead of relying on theory alone, the author uses everyday examples, case studies, practical activities, and memorable analogies. The comparison of AI to a vehicle—with humans remaining the driver—is especially effective. It reinforces the idea that while AI can be incredibly capable, responsibility never leaves the human using it.

The sections on prompting are equally useful. Rather than presenting prompting as a collection of tricks, the book explains it as structured thinking. I found the practical frameworks surprisingly easy to apply, even for someone who already uses AI regularly.

A Balanced and Thoughtful Perspective on Artificial Intelligence

What impressed me most was the author’s balanced approach.

Many AI books fall into one of two extremes—they either present AI as humanity’s greatest threat or as the answer to every problem. Making Sense of AI avoids both. Instead, it consistently reminds readers that technology reflects human choices, and that critical thinking matters more than ever.

The discussions around misinformation, bias, workplace decisions, and the growing importance of AI literacy feel especially relevant today. Rather than making predictions about a distant future, the book focuses on the decisions we need to make right now as AI becomes part of everyday life.

By the time I reached the final chapters, I realised this wasn’t really a book about technology. It’s a book about responsibility, judgment, and staying human while working alongside increasingly capable machines.

If you’re looking for an AI book that explains algorithms in mathematical detail, this probably isn’t it. But if you want a clear, practical, and highly readable guide that helps you become a smarter and more confident AI user, I think Making Sense of AI is well worth reading for everyone. Here’s the link to this fantastic book—> Making Sense of AI by Delphin B. Kyubwa.

About the Author

Delphin B. Kyubwa, Ph.D. is an educator and researcher who focuses on making artificial intelligence understandable for everyday readers, professionals, educators, and decision-makers. Through Making Sense of AI, he combines clear explanations with practical guidance, helping readers develop AI literacy, strengthen critical thinking, and use artificial intelligence responsibly in work, business, and daily life.

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