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A review by richardbakare
A Citizen's Guide to Artificial Intelligence by John Zerilli
5.0
Jon Zerilli et. al. have offered up a primer for the coming AI Future that misses none of the nuance. This book takes you through the various topic areas related to Artificial Intelligence, the pros, the cons, and the gray area in between. It does so in a way that builds easily from one section to the next or allows you to tackle them independently. The sum of the parts is a complete and compelling philosophical discussion on everything machine learning and artificial intelligence.
The crux of their approach with this book is to dispel the myth and hype around Artificial Intelligence. While also being cautiously optimistic about what we can achieve with AI if we avoid the pitfalls. Being philosophically grounded, the book is as informative about humanity as it is about Artificial Intelligence. Our authors show how humans create the models, training sets, and other components; and in doing so we naturally infuse it with our biases and societal complexities. The best gem they uncover is that in our approach to create thinking machines, we have to learn to think differently about how the social contract and what it means to be human.
As packed as that agenda is, the authors put this book together using a clear, consistent, and concise voice. That was a smart move that makes the book a sticky page turner despite the heady topics. It maintains an artfully written and intelligent prose that is accessible to all despite the myriad of expert opinions that comprise it. Artificial Intelligence is complex by nature and the conversations around it leave many people behind. Our authors have bridged that gap and perhaps added some knowledge that should be part of the national cannon. I highly recommend it to all.
The crux of their approach with this book is to dispel the myth and hype around Artificial Intelligence. While also being cautiously optimistic about what we can achieve with AI if we avoid the pitfalls. Being philosophically grounded, the book is as informative about humanity as it is about Artificial Intelligence. Our authors show how humans create the models, training sets, and other components; and in doing so we naturally infuse it with our biases and societal complexities. The best gem they uncover is that in our approach to create thinking machines, we have to learn to think differently about how the social contract and what it means to be human.
As packed as that agenda is, the authors put this book together using a clear, consistent, and concise voice. That was a smart move that makes the book a sticky page turner despite the heady topics. It maintains an artfully written and intelligent prose that is accessible to all despite the myriad of expert opinions that comprise it. Artificial Intelligence is complex by nature and the conversations around it leave many people behind. Our authors have bridged that gap and perhaps added some knowledge that should be part of the national cannon. I highly recommend it to all.