Here are 100 books that Atlas of AI fans have personally recommended if you like
Atlas of AI.
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Software developers love to question the assumptions that underpin their practice. Some of the most exciting phases of my career have come about as a result of such questions. Often they are revolutionary in the literal sense that they ask you to turn your thinking upside down – to design systems from the bottom up rather than the top down, for example, or to write your tests before your components. I may not adopt every practice, but each challenge enriches the conceptual world in which I work. Over the years, I have come to look for similar shifts and inversions across other subject areas. Here are some recommendations from my reading.
I must have read a hundred books about story structure over the years. Somehow, perhaps because of some story-related blind spot on my part, none of them ever seemed to stick.
My problem was always the middle. Middles can sag. It seems that a story's interior becomes little more than the wasteland a protagonist must traverse to get from the mystery of a beginning to the ultimate challenge of an ending.
Yorke's Into The Woods celebrates the middle. He reminds us that the essential crux of a story lies in its midpoint. Right at the heart of an effective story, he argues, lies a fundamental transformation, a change so great that the protagonist emerges with new powers into a new world.
Furthermore, by analysing stories in five acts rather than three, he allows for an elegant symmetry in which the first and fifth, second, and fourth acts mirror one another.…
'The best book on the subject I've read. Quite brilliant' Tony Jordan, creator/writer, Life on Mars, Hustle
We all love stories. But why do we tell them? And why do all stories function in an eerily similar way? John Yorke, creator of the BBC Writers' Academy, has brought a vast array of drama to British screens. Here he takes us on a journey to the heart of storytelling, revealing that there truly is a unifying shape to narrative forms - one that echoes the fairytale journey into the woods and, like any great art, comes from deep within. From ancient…
I spent twenty years as a book publishing executive learning how the trade works before launching myself as a full-time author wanting to make the world a better place. My books use state-of-the-art scholarship for history you can read on the beach, and focus on ‘hinge’ moments, great turnings of the world, as well as on forgotten and unsung heroes.
What ideas do you have about what the first peoples were like, and how human society developed?
Maybe you’ve even read the popular authors on this topic such as Diamond, Harari, Pinker, Hobbes, and Rousseau. Prepare to have all of your notions and received opinions upended and turned to dust by David Graeber (a man universally acknowledged as a genius) and the book he worked on for the last ten years of his life, which brings revolutionary ideas to 30,000 years of civilization.
A dramatically new understanding of human history, challenging our most fundamental assumptions about social evolution—from the development of agriculture and cities to the origins of the state, democracy, and inequality—and revealing new possibilities for human emancipation.
For generations, our remote ancestors have been cast as primitive and childlike—either free and equal innocents, or thuggish and warlike. Civilization, we are told, could be achieved only by sacrificing those original freedoms or, alternatively, by taming our baser instincts. David Graeber and David Wengrow show how such theories first emerged in the eighteenth century as a conservative reaction…
At age eighteen, as a part-time employee of a prisoners’ rights group, I visited an archipelago of decrepit prisons, all relics of an earlier age. My job was gathering inmates’ accounts of bucket toilets, unheated cells, bugs, molds, and rats. Soon after, I began reading and writing about prison reform and its history. And in the many decades since, whether practicing or teaching criminal law, I never lost sight of prisons and their problems. Several of these five books fed my young fascination with prison reform. All of them still challenge me to imagine true and enduring reform.
Though Foucault’s book appeared at almost the same moment as Ignatieff’s, Foucault painted a far darker image of early penitentiaries. He cast them not as places of reform but as instruments of disciplinary control, rendering inmates docile and amenable to the monastic repression and routine of schools and factories.
Foucault’s book taught me decades ago that history is crafted, not discovered, and that skilled chroniclers can weave very different plotlines from similar facts.
A brilliant work from the most influential philosopher since Sartre.
In this indispensable work, a brilliant thinker suggests that such vaunted reforms as the abolition of torture and the emergence of the modern penitentiary have merely shifted the focus of punishment from the prisoner's body to his soul.
Software developers love to question the assumptions that underpin their practice. Some of the most exciting phases of my career have come about as a result of such questions. Often they are revolutionary in the literal sense that they ask you to turn your thinking upside down – to design systems from the bottom up rather than the top down, for example, or to write your tests before your components. I may not adopt every practice, but each challenge enriches the conceptual world in which I work. Over the years, I have come to look for similar shifts and inversions across other subject areas. Here are some recommendations from my reading.
In between other projects, I have been conducting research for a non-fiction book about the particular kinds of parallel universe that every story world creates. And that's how I came across Reality+.
The question as to whether we are living in a simulation is beloved of moviegoers, stoners, and undergraduates (quite a large intersection in that Venn diagram). It's also worthy of serious philosophical and scientific inquiry. David J Chalmers is a philosopher, and his book treats the question with entertaining rigour.
The book goes beyond the simulation hypothesis, though, to examine the philosophical implications of our inevitable colonisation of the virtual realm. At the heart of Chalmers' argument is a rejection of the opposition between the real and the simulated.
Lived experience, Chalmers claims, is real experience, as freighted with value and possibility in the virtual world as it is out here in the probably real, possibly simulated universe.
Virtual reality is genuine reality; that's the central thesis of Reality+. In a highly original work of "technophilosophy," David J. Chalmers gives a compelling analysis of our technological future. He argues that virtual worlds are not second-class worlds, and that we can live a meaningful life in virtual reality. We may even be in a virtual world already.
Along the way, Chalmers conducts a grand tour of big ideas in philosophy and science. He uses virtual reality technology to offer a new perspective on long-established philosophical questions. How do we know that there's an external world? Is there a god?…
My personal passion behind ethical AI started early in my life. I was raised by someone who had a personality disorder, and grew up being gaslit and manipulated. It was hard for me personally to understand what was reality and what was made up. Being a nerdy kid, I spent most of my time studying computers and math to escape it all. And while I have made my own life writing books on machine learning, and programming for a living, I also care deeply about how what I do affects others. Being thoughtful is deep within me, and I sit with a Zen group and volunteer with the Mankind Project.
Peter Flach’s book on machine learning had a profound impact on me. The book is simple to understand, and highly visual. But beyond that Peter himself is a lovely person who obviously cares about all his students. I believe for getting started in machine learning and wanting to understand the algorithms that power many models, this is a great place to start.
But most importantly it’s a great way to understand the power and gain more intention behind what we are doing.
As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role…
Coming from two very different backgrounds gives Dean and I a unique ‘view’ of a topic that we are both hugely passionate about: artificial intelligence. Our work together has gifted us a broader perspective in terms of understanding the development of and the philosophy beneath what is coined as artificial intelligence today and where we truly stand in terms of its potential for good – and evil. Our book list is intended to provide a great starting point from where you can jump into this incredibly absorbing topic and draw your own conclusions about where the future might take us.
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!
A leading artificial intelligence researcher lays out a new approach to AI that will enable us to coexist successfully with increasingly intelligent machines
In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable.
In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines.…
I’m a storyteller writing on business and technology. I specialize in clear views of complex systems. When Juliette showed me her research on tech companies and AI responsibility, I saw the power of a book – the book that ultimately became The AI Dilemma. The core dilemma is that in the right hands the technology is needed, and in the wrong hands it’s dangerous. When Juliette asked me to coauthor it, I jumped at the chance. As we worked, I realized that the topic brought into focus all the research and thinking I’d ever done about human, organizational, and machine behavior.
If ever a subject deserved the sweeping hand of a highly skilled journalist/historian, it’s generative AI and machine learning. The field is shaped by its founders’ idiosyncratic and fascinating personalities.
NYTimes reporter Cade Metz observed many events first-hand. We read about Go Grandmaster Lee Sedol recovering from losing to Google’s AI by mastering the machine’s logic. We see Geoffrey Hinton flying supine because of his back problems, and the origins of Joy Buolamwini’s famous Gender Shades project.
We get the backstory to the most serious issues: like how well can AI developers be trusted to manage risk? As a journalist-historian myself, I deeply appreciate being immersed in contemporary history.
'This colourful page-turner puts artificial intelligence into a human perspective . . . Metz explains this transformative technology and makes the quest thrilling.' Walter Isaacson, author of Steve Jobs ____________________________________________________
This is the inside story of a small group of mavericks, eccentrics and geniuses who turned Artificial Intelligence from a fringe enthusiasm into a transformative technology. It's the story of how that technology became big business, creating vast fortunes and sparking intense rivalries. And it's the story of breakneck advances that will shape our lives for many decades to come - both for good and for ill. ________________________________________________
My passion for generative AI first ignited in 2016 when I spoke about it at a conference, and ever since then, I can’t stop! I've created an online course, a newsletter and even wrote a book to spread knowledge on this groundbreaking technology. As an instructor, I empower others to explore the boundless potential of generative AI applications. Day in day out, I assist clients in crafting their own generative AI solutions, tailoring them to their unique needs.
While it’s not the newest tech, I love that it covers the essential groundwork that sparked the modern AI revolution. I personally think its perfect for engineers and data scientists. It's also a great precursor to my book, giving you the strong foundation you need before diving into the next wave of AI advancements.
Generative modeling is one of the hottest topics in AI. It's now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models.
Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you'll…
My passion for generative AI first ignited in 2016 when I spoke about it at a conference, and ever since then, I can’t stop! I've created an online course, a newsletter and even wrote a book to spread knowledge on this groundbreaking technology. As an instructor, I empower others to explore the boundless potential of generative AI applications. Day in day out, I assist clients in crafting their own generative AI solutions, tailoring them to their unique needs.
I have a deep appreciation for Stuart Russell's book because it brilliantly balances theoretical foundations with practical applications in AI. This book is not just a textbook; it’s a comprehensive guide that covers everything from problem-solving and knowledge representation to machine learning and ethics.
Russell's clear explanations and engaging examples make complex concepts accessible, which resonates with my own passion for demystifying AI for readers. I recommend it to anyone interested in understanding AI's potential and challenges, as it equips you with the knowledge to navigate this rapidly evolving field responsibly and thoughtfully.
I’ve been a geeky kid all my life. (I don’t think I’ve quite grown up yet.) Born in the 1970s, my childhood was a wonderful playground of building robots and software. I was awarded one of the early degrees in AI, and a PhD in genetic algorithms. I’ve since spent 25 years exploring how to make computers think, build, invent, compose… and I’ve also spent 20 years writing popular science books. I’m lucky enough to be a Professor in one of the world’s best universities for Computer Science and Machine Learning: UCL, and I guess I’ve written two or three hundred scientific papers over the years. I still think I know nothing at all about real or artificial intelligence, but then does anyone?
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.
Recent startling successes in machine intelligence using a technique called 'deep learning' seem to blur the line between human and machine as never before. Are computers on the cusp of becoming so intelligent that they will render humans obsolete? Harry Collins argues we are getting ahead of ourselves, caught up in images of a fantastical future dreamt up in fictional portrayals. The greater present danger is that we lose sight of the very real limitations of artificial intelligence and readily enslave ourselves to stupid computers: the 'Surrender'.
By dissecting the intricacies of language use and meaning, Collins shows how far…
