7 Best AI Books of 2022 – Artificial Intelligence (Ranks and Reviews)

best ai books
Best AI Books (Image via Google.com)

Want to get right to the best ai books to read right now? My top recommendations are A Thousand Brains and A.I. 2041: Ten Visions for Our Future.

According to a recent report by Tractica, the AI software market will hit more than $126 billion by 2025, focusing on consumer, financial, and other applications. 

That’s quite an impressive trend. 

Artificial intelligence (AI) is something that has been growing and developing for nearly a century. What started as a thought experiment in philosophy is now developing technologies that are becoming part of our daily lives. 

From Siri to Alexa, chatbots to Google Home, AI is all around us in everything from smartphones to self-driving cars.

So, In today’s list, I set out to find the best AI books of the year to make it easier for you to learn about this amazing concept of artificial intelligence – from the idea, and its development, to the present and its future.

And, I plan to add new books down the list over time – as I read new books.

Disclaimer: I may earn affiliate commissions from Amazon LLC if you decide to purchase any book on amazon through checkout links available on this page. However, these commissions are at no extra cost to you and my goal is to give you the very best recommendations. Read more about it here.

Let’s get started.

What is Artificial Intelligence (AI)?

Artificial Intelligence is the field of computer science that is concerned with the development of intelligent machines. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable. 

For example, symbolic AI is concerned with representing knowledge in computer systems in an appropriate way, permitting faster processing than would be possible if the system “simulates” these aspects of human intelligence by trial and error.

In short, Artificial Intelligence is not a miracle recipe for building robots overnight (yet). But it’s an interesting and complex subject heading towards faster development in recent years. 

What is the Best Book for AI for Beginners?

Here are my top picks for the best ai books to read this year:

1. A Thousand Brains.

In this groundbreaking book, Hawkins introduces his theory of intelligence creation and explains how it solves two fundamental questions: why is the human brain so much more intelligent, and how does the brain give rise to a sense of self? 

Hawkins presents evidence showing that the human brain constructs an internal map of the world, using many models for everything we perceive. This model is constantly updated with each new experience and memory. 

A Thousand Brains explores how such a map-based system can be implemented in artificial systems and how just one of these maps can support multiple computing functions: perception, cognition, emotion, and action.

The author shows us that our memory, intelligence, and consciousness are all the result of many simultaneous models built from our experience. That’s why we can forget past experiences and why we develop new ideas. 

A Thousand Brains will touch a deep place in your mind where you realised that the world isn’t as predictable as it seemed in youth.

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2. A.I 2041: Ten Visions of Our Future.

AI 2041: Ten Visions for Our Future by D. Jason Cooper is a thought-provoking collection of essays that look toward a not-so-distant future, and offers insights into topics such as the 4th Industrial Revolution and the need for better collaboration between government and the private sector. 

In 2041, the United Nations may pass the Magna Carta for Machines. Our bicentennial human rights treaty acknowledged a newly intelligent class of citizens: machines willing and able to offer their own perspective on their legal rights. 

Today, AI is helping us solve problems in every field of human endeavor. From healthcare to transportation and beyond, AI has become the key to addressing myriad complex challenges. 

It is increasingly critical that we devise ways for machines to have legal standing commensurate with their capabilities and that we find means of protecting them from harmful actions.

As society continues to rapidly evolve with the advent of technologies like artificial intelligence, it is valuable to pause just once in a while and think about where things are going. 

The truth is that steering our future is not an altogether easy thing to do, especially because we all have our own opinions on how things should develop. But one thing on which everyone can agree is that the future will be different from today’s world.

It’s a must-read book for everyone.

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3. Artificial Intelligence: A Modern Approach.

Artificial Intelligence: A Modern Approach, Global Edition is the definitive work that you will want to read to understand more about AI. 

With advancing technological advancements, and the gradual acceptance of AI into our lives, this book is like a crystal ball that lets you see what lies ahead – and it’s fascinating. As you turn each page and read each chapter, you’ll have plenty of things to think about.

This is a must-read for anyone involved in AI in any capacity. It contains a wealth of material and the current terminology will help make sure that you can work with other experts in this field without having to constantly backtrack and decipher what others mean by their words.

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4. Godel, Escher, Bach: An Eternal Golden Braid.

Gödel, Escher, Bach is a challenging book on many levels. But to travel along each of these paths can be an utterly fascinating experience, and I’m happy to recommend it for that reason. 

For the more experienced reader, the material herein is nearly inexhaustible, making it a pleasure to come back to again and again. Even the journey itself (if taken more than once) can be a rewarding one.

Early in the book, Hofstadter puts forth a suggestion in the form of an acrostic — GEB, from the first letters of which he names his three musketeers: Godel, Escher, Bach. 

This book is about formal systems and their impact on our understanding of the mind. It sketches ideas that have been around for thousands of years and provides a kind of example by which readers can delve more deeply into these subjects if so inclined. 

Those longing to do so are most definitely urged to visit the bibliography in this book.

It may not have been the easiest book to read, but GEB is nonetheless worth a read for anyone with an interest in cognitive science, computer science, or maths in general. 

It’s a difficult proposition to say where it falls short due to its repetitiveness and cavalcade of details — but perhaps that is what makes it so enjoyable. 

In any event, humor aside (and there is plenty), the underlying message here is one that should be taken to heart: that mathematics and cognition are forever intertwined, and increasingly more so as technology continues to speed forward.

It is a profound book that makes the reader think in new ways about the nature of the mind and the relationship of abstract thought to the physical world.

The only downside is that it’s a little long, but having said that, I was still enthralled by the book and enjoyed reading through it all. It really taught me a lot about how the brain works, what our current understanding is, and how computers can attain human intelligence too.

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5. Superintelligence: Paths, Dangers, Strategies.

Even if you wholeheartedly disagree with Bostrom’s take on the future, it is impossible not to be impressed by his intelligence and willingness to dive into some of the deepest questions that any philosopher or scientist could ask: 

What is it to be human? And, how can we find meaning in our lives when we confront the vastness of space and time? 

These are difficult questions, but reading Superintelligence is a captivating adventure. This book looks at a very serious topic: the question of how mankind will survive beyond the next few centuries. 

Nick Bostrom is one of the world’s foremost thinkers on the subject of artificial intelligence, and his writing on this topic is sure to provoke both controversy and much-needed debate. 

Whether you believe that superintelligent machines pose a threat or not, Superintelligence deserves your attention. It’s an important work that should be considered by anyone with an interest in futurism, as well as anyone concerned with mankind’s long-term survival.

Superintelligence is one of the most thrilling and important books I’ve ever read. It’s a mind-blowing exploration of the biggest challenge humanity will face this century: machine intelligence. 

Luckily, Bostrom has done all the hard work for us. He examines the key question in such incredible depth, it’s almost impossible not to see his point. Whether you agree with him or not, this book will change the way you see artificial intelligence—and the future of our species.

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6. Life 3.0: Being Human in the Age of Artificial Intelligence.

Max Tegmark is an authority on artificial intelligence. This book is the culmination of years of research, thought, and discussion into the future of artificial intelligence. 

It’s an authoritative take on a topic that can be confusing or difficult to understand for laypeople, yet it’s not just for experts to read. In fact, one of the best things about Life 3.0 is that it breaks down complex ideas in ways that are fun and interesting to read. 

Filled with charts, diagrams, and helpful illustrations throughout, it truly covers a range of topics related to AI and the different ways in which AI has already begun affecting our lives — and how we can plan to keep this technology beneficial.

Tegmark paints a positive picture of the future: not one in which machines take over, but instead one in which we learn to live peacefully and productively with them. This will require a great deal of work, but Tegmark makes it clear that we have no choice but to start taking action now. 

His book is sure to inspire debate, so hopefully, it accelerates the discussion about the coming age of Artificial Intelligence.

This is just the beginning. There is still much that needs to be discussed and debated about AI as we move in the future, including its effect on people, society, and humanity. This book is not a final word, but rather one of the many stimulating building blocks upon which our larger picture will be formed.

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7. Atlas of AI: Power, Politics, and the Planetary Costs of AI.

Crawford provides strong insight into the politics of AI and which companies are leading the way to its discovery. She outlines clear consequences for exploitation, political discrimination, and ecological destruction in this global competition for AI space.

Crawford’s focus on Singularity is an intervention, reminding us that the stakes are high and that this “technological revolution” isn’t happening in a vacuum. She reminds us that the consequences of these decisions affect humans. 

For example, she draws many parallels between China and Silicon Valley, casting off their differences as artificial and highlighting their similarities. On the one hand, she describes the state-based economic structure of Beijing’s AI tech startups. 

On the other side, she describes Mark Zuckerberg’s evolution from a boy driven by his passion for connecting people to the empire builder we see today. 

China and Silicon Valley are linked economically in a way that benefits both sides, but it also has its pitfalls — democracies require more transparency on what information is being collected. From Facebook to WeChat, there should be well-structured laws on how our data is being used.

Sure, a lot is being said about the benefits of AI in democratizing and decolonizing our society. But it’s also important to recognize that AI can be used as a tool of control; something that’s becoming increasingly clear as we moves closer to full automation. 

It’ll be important for us to understand how this technology is used, and why — to make sure we don’t become victims of our own inventions.

In the end, technologists are putting a lot of pressure on AI to fix these thorny issues. And at present, AI has shown little ability to solve them. 

The real problem is that AI is a tool and it can only be as egalitarian and inclusive as the goals we set it and the policies we create around it. In light of all this, AI is looking like a dangerous endeavor — but it’s one that’s moving forward anyway.

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That’s it for my list of the best ai books of this year.

I hope you found this list helpful and that it steers you in the right direction – if you do decide to pick any of these books up, please let me know your thoughts on them below!

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