100 Books Like The Myth of Artificial Intelligence

A primary reason to love math is because of its usefulness. This book shows two sides of math’s applicability, since it is so ubiquitously used in various algorithms.

On the one hand, such usage can be good, because statistical inferences can make our life easier and enrich it. On the other, when these are not properly designed or monitored, it can lead to catastrophic consequences. Mathematics is a powerful force, as powerful as wind or fire, and needs to be harnessed just as carefully.

Cathy O’Neil’s message in this book spoke deeply to me, reminding me that I need to be always vigilant about the subject I love not being deployed carelessly.  

I read this during a confusing time—when I was seeking treatment for depression, from age 16 through 24.

Here was the third-most adapted book in history, and yet with each adaptation, the story grew further from the author’s true voice, which was that of an 18-year-old girl. How odd that this could happen, given that Frankenstein revolves around the creature finding his identity.

He only wants to do good, but when he learns how to read, he also learns how to label himself—as separate from God, and separate from man. He believes he must be bad because he’s different. The whole town agrees. 

When I read this, I also felt different. This feeling didn’t go away until I finished my dad’s bucket list and saw the beauty and wonder he’d seen in me. I was different. But this was a good thing. I pray Mary Shelley found the same peace,… show more.

Brevini gives us something real to worry about—climate change. Did you know that using ChatGPT to look something up can take up to ten times as much energy as doing a Google search? 

To most of us, AI seems like something that just happens in thin air (the cloud). But, in reality, the data centers needed to train and run AI rely on a variety of scarce resources and eat up vast amounts of energy in doing their calculations. This little book of just 109 small pages lays out the many ways in which AI is contributing to climate change. 

An AI-centric world will be a hot and stormy one, increasingly inhospitable for both humans and machines. And that has me worried.

Another big thing to worry about. AI doesn’t have to be superintelligent to do real damage. Scharre identifies four areas where AI will radically change the future of international politics and conflict. 

As a former Army Ranger, Scharre looks first at the impact of autonomous weapons and decision-making systems, on the battlefield and behind the scenes. These will speed up the pace of warfare, perhaps beyond our human capacity to keep up and stay “in the loop.” 

But Ai will also move the battlefield to the political arena, economy, and social media. In each of these, AI has the potential to really destabilize our current systems, furthering autocracy, increasing unemployment, and filling our inboxes and minds with misinformation and propaganda. I fear we might see some of Scharre’s concerns borne out in the 2024 election.

As I write these lines, artificial intelligence (AI) is getting a lot of attention.

This is largely due to ChatGpt recently bursting onto the scene. But even before ChatGpt began making its mark, AI was often in the news. Some have expressed worry that it will take our jobs, others that it will reinforce systemic oppression by making racially or otherwise discriminatory decisions, and some have even voiced concerns that one day a superintelligent AI might pose an existential threat to humanity.

In the midst of all this, what might get lost is what AI is, what it's capable of doing, and what its limitations are. Wenger's book is intended to address all of these questions. It manages to do so in a way which goes into some of the mathematics of AI systems and yet remain accessible to a lay audience.

After laying out the technical aspects of AI,… show more.

I really loved this book because of its wide breadth. If you are only going to read a single book on AI and its ramifications, this would be my top recommendation.

It covers everything from the history of artificial intelligence to what the short- and mid-term future will look like. This book provides a solid foundation to help you prepare for a future dominated by AIs and robots. 

What sets this book apart for us is its focus on rethinking the very foundations of AI. The author, Russell, thoughtfully examines the concept of intelligence itself, comparing humans and machines and outlining the necessary milestones for reaching superhuman AI. 

He also doesn't shy away from the current dangers of AI misuse, providing some really great examples.

We found the book very hard to put down, and it raised so many ‘What if?” questions for us!

I absolutely love Nick Bostrom's book because it dives deep into the fascinating yet daunting future of artificial intelligence, a topic that resonates with my own work. Bostrom's exploration of how superintelligent AI could emerge and the profound risks it poses is both thought-provoking and essential reading for anyone curious about technology's trajectory.

His insights on the challenges of control and alignment really struck a chord with me, as they highlight the importance of designing AI systems that prioritize human values. This book not only raises critical questions but also inspires a sense of urgency to navigate the future responsibly, making it a personal favorite and a vital resource for anyone interested in the intersection of AI and ethics.

OK, I’m biased here because Rob is an old friend of mine. We first met at academic conferences and had several heated debates (arguments). But after spending a little time together at a workshop we realised each probably knew what they were talking about after all. Robert Elliott Smith, I should make clear it's not the Rob Smith who writes about “Artificial Superintelligence”. Those books definitely do not make this list.

Our Rob is a coherent, grounded scientist with bags of real-world experience, and he brings his knowledge to this title with gusto, telling us about how AI is affecting our lives in ways you never thought possible – and often not in a good way. If you want to understand what can go wrong with AI and what we should be doing to stop it, don’t read about singularities or other such nonsense, read this.

My second choice relates more subtly to Turing’s sudden end in 1954. In 1955, Turing’s colleague Max Newman gave a talk on logic in his honour. This greatly impressed a student, Roger Penrose, who was also studying the quantum mechanics and relativity that had first fascinated the young Turing. Years later, Penrose announced an astonishing thesis relating logic and physics. This book explains the theory he developed. It claims that the brain must exploit quantum-mechanical physics that no computer can emulate. Turing famously promoted the prospects for computer-based Artificial Intelligence, but he would have taken this anti-AI thesis more seriously than any other argument: it takes up his own interests and develops his own kind of thinking. 

Penrose’s books are not about science, they are actually doing scientific thinking. His humour and wonderful pictures enhance the direct personal engagement. The theory is highly controversial but has set a remarkable twenty-first-century… show more.