AI books have somehow managed to become their own genre of anxiety. One tells you AI is going to change everything. Another tells you it’s going to take your job. Then there are the ones that spend 300 pages explaining how a model works and leave you wondering what you’re actually supposed to do with that information.
Making Sense of AI feels like it was written for people caught somewhere in the middle of all that noise.
Dr. Delphin B. Kyubwa isn’t trying to turn the average reader into an AI engineer. He’s trying to make sure we’re not blindly using tools we don’t understand. That distinction matters. The book starts with the basics, but it doesn’t stay there. It moves from what AI actually is to where it gets things wrong, how those mistakes show up at work and what our responsibility looks like once we start relying on these systems.
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The section on AI’s limitations was probably the one I found most useful. Hallucinations, bias and that strange confidence AI has even when it’s completely wrong are things most of us have already encountered. But knowing that something can be wrong and knowing how to recognise when it’s wrong are two very different things. Kyubwa spends time on that gap, and I think that’s where the book is at its strongest.
I also liked that the book doesn’t treat AI as either a miracle or a disaster. There’s a lot of talk about using AI as an assistant rather than an authority, and that idea keeps coming back in different forms. Use the tool. Question the output. Keep the responsibility. It sounds simple, but considering how quickly we’re handing over decisions to technology, it’s probably something worth repeating.
The book does get quite comprehensive, especially towards the later chapters and appendices. For someone looking for a quick introduction to ChatGPT or a list of AI tools, this will probably feel like more than they need. But that isn’t really what Kyubwa is trying to give you. The extensive resources, teaching material and reading list make the book feel almost like something you could return to rather than read once and forget about.
What I appreciated most was the underlying message. AI literacy isn’t just about knowing how the technology works. It’s about knowing when to trust it, when to question it and when to step in yourself.
And maybe that’s the part of the AI conversation we need more of.
Not “How much can AI do for me?”
But “How much am I willing to stop thinking for myself?”Making Sense of AI doesn’t have all the answers. Thankfully, it doesn’t pretend to. It just gives you enough understanding to start asking better questions. In the current AI landscape, that’s a pretty good place to start.