Books like AI — picked by fans

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.

I’ve not met Harry, but he seems to have a logical and sensible head on his shoulders. His writing is considered and grounded, which is exactly what you need when discussing the hype that forever seems to surround AI. This book is another look at this topic and finds yet more ways to explain to readers the difference between human intelligence and our algorithmic attempts at intelligence – which are frequently pretty stupid.

When I’m not developing AI methods (or writing about them) I read. Most of what I read is science fiction. There’s nothing more imaginative than a good science fiction book, and many science fiction stories have inspired us to develop whole new technologies. This one probably won’t do that, but it has such a bizarre mind-bending world that I couldn’t resist recommending it. Niven is great at this kind of thing – the Ringworld books were a favourite of mine as a kid, and frankly, I could recommend another 30 of his books. But Integral Trees is entertaining, a little bizarre, and it even has diagrams to illustrate the underlying concepts at the start – what more could you ask for in a science fiction book?

This is another break from AI, and it’s another bizarre world. Why do computer scientists like this kind of thing? I think it’s because we invent mind-bending mathematical worlds in which our algorithms live – we like to explore the strange and weird. When reading this book, at first you wonder if this is science fiction at all – the story seems fantastical. But check out the Appendix and there’s the scientific explanation, complete with equations for the weird laws of physics. Now, this is a proper hard science fiction book… somehow disguised almost as a fairy tale. A lovely read and the ending is suitably in keeping with the rest of the story… Unexpected.

What is creativity, and what makes it possible? If a new idea came from nothing, would it be magic? If a new idea were generated by recombining old ones, would it really be “creative”? In this book, Margaret Boden, a distinguished philosopher of science, thinks through what creativity really is, whether it takes the form of a world-altering advance in science or a novel jazz improvisation. To help understand human creativity, the book compares it to the workings of computer programs—ones capable of generating art or music that at least appears creative. Readers who have followed more recent developments in artificial intelligence will be able to consider for themselves whether machine creativity is, or could be, a reality. The book helped me think about what it means to create an “authentic” poem.

Susan Schneider’s exploration of AI and consciousness raises profound questions about what it means to be human in a future shaped by intelligent machines.

I’m especially drawn to her thoughtful analysis of the possibility of mind-uploading, AI consciousness, and the ethical implications of merging human and machine intelligence. Her work ties directly to themes that I like to explore in my writing. Schneider and I both grapple with the unknowns of delegating decision-making to AI, particularly in high-stakes realms like warfare.

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.

I think computers don’t think, and this book taught me how to think about that. I admire it in part because it showed me, a professor of philosophy, how to do scientifically informed philosophy. Unlike so many books on the history of thinking about thinking, just the first chapter of this book is clear, accurate, insightful, and exciting. Equally so is Haugeland’s explanation of what a computer is, making an intellectual adventure of theoretical computer science.

Haugeland uses this to make a compelling case for thinking that computers could genuinely reason. And then he does something that we philosophers tend to love; he launches a provocative critique of that claim, contending that computers can’t think because they don’t “give a damn.” Although it’s now three decades old, this is the book to read if you’re curious about artificial intelligence. 

This book invites the reader to consider whether AI is a new form of life, how it differs from other forms of life, and what might come next.

Anyone who wants to expand their thinking on AI's future potential and what it will mean for humanity should pick up a copy.

A whirlwind tour of what state-of-the-art linguistic science has to offer! 

Even after 25 years of working in the field, I discovered fascinating new insights, ranging from how deaf children acquire sign languages to experimental efforts teaching human language to apes.

But what was especially fun for me was a behind-the-scenes glimpse into how Adger designed an alien language for a TV show. It truly inspired me to reflect on how I would have done it differently and how our personal experiences shape our work as scientists.