Here are 100 books that Artificial Intelligence fans have personally recommended if you like
Artificial Intelligence.
Book DNA is a community of 12,000+ authors and super readers sharing their favorite books with the world.
Since I was a little boy, I’ve been passionate about technology and its potential to help people. After 25 years working in high tech, digital transformation, and artificial intelligence with a career spanning Intel, Google DeepMind, and a few successful startups I co-founded, I’ve pivoted to helping people, particularly leaders, understand how AI will transform business, education, and society, and how they can use AI to create new value and solve problems for people. AI is about to change everything about everything, and these books will help readers understand what’s coming and prepare themselves for humanity’s journey into an age of abundant intelligence.
'This is the most important conversation of our time, and Tegmark's thought-provoking book will help you join it' Stephen Hawking
THE INTERNATIONAL BESTSELLER. DAILY TELEGRAPH AND THE TIMES BOOKS OF THE YEAR SELECTED AS ONE OF BARACK OBAMA'S FAVOURITE BOOKS OF 2018
AI is the future - but what will that future look like? Will superhuman intelligence be our slave, or become our god?
Taking us to the heart of the latest thinking about AI, Max Tegmark, the MIT professor whose work has helped mainstream research on how to keep AI beneficial, separates myths from reality, utopias from dystopias, to…
A moving story of love, betrayal, and the enduring power of hope in the face of darkness.
German pianist Hedda Schlagel's world collapsed when her fiancé, Fritz, vanished after being sent to an enemy alien camp in the United States during the Great War. Fifteen years later, in 1932, Hedda…
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 truly believe that this is the book that brought my generation of AI experts into the fold. Despite having studied AI and ML, this book took me by the hand and grounded me in the fundamentals. I love the fact that it covers everything from mathematical basics to industry-level techniques.
Written by the OGs of deep learning, it's an absolute must-read for anyone serious about the field. Highly recommend for students and engineers alike.
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.
“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX
Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all…
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 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.
The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. Other animals have stronger muscles or sharper claws, but we have cleverer brains.
If machine brains one day come to surpass human brains in general intelligence, then this new superintelligence could become very powerful. As the fate of the gorillas now depends more on us humans than on the gorillas themselves, so the fate of our species then would come to depend on the actions of the machine superintelligence.
This book is an elegiac meditation on the will to survive. Tor, a beluga whaler, and his wife, Astrid, a botanist specializing in Arctic flora, are stranded during the dark season of 1937-38 at his remote whaling station in the Svalbard archipelago when they misjudge ice conditions and fail to…
Since I was a little boy, I’ve been passionate about technology and its potential to help people. After 25 years working in high tech, digital transformation, and artificial intelligence with a career spanning Intel, Google DeepMind, and a few successful startups I co-founded, I’ve pivoted to helping people, particularly leaders, understand how AI will transform business, education, and society, and how they can use AI to create new value and solve problems for people. AI is about to change everything about everything, and these books will help readers understand what’s coming and prepare themselves for humanity’s journey into an age of abundant intelligence.
When Peter’s book was released the same month as mine, I was initially concerned it would be duplicative. As I eagerly read his book, I realized it was a companion piece to mine. We discuss many of the same topics, and examples in my book help to illustrate concepts in his and vice versa.
From the New York Times bestselling authors of Abundance and Bold comes a practical playbook for technological convergence in our modern era.
In their book Abundance, bestselling authors and futurists Peter Diamandis and Steven Kotler tackled grand global challenges, such as poverty, hunger, and energy. Then, in Bold, they chronicled the use of exponential technologies that allowed the emergence of powerful new entrepreneurs. Now the bestselling authors are back with The Future Is Faster Than You Think, a blueprint for how our world will change in response to the next ten years of rapid technological disruption.
I have spent over a decade studying and teaching digital media, communication, and technology policy, while also working in journalism and media production. My passion for this topic comes from watching how technology quietly reshapes everyday life, from how people form relationships to how societies govern themselves. I am fascinated by the space where media, culture, and human behavior intersect, especially when change feels invisible but profound. Writing and reading about AI helps me make sense of these transformations, and I care deeply about helping people remain thoughtful, ethical, and human in an increasingly algorithmic world.
I found this book incredibly powerful because it comes from a true "insider" who helped build the very technology he’s now warning us about.
I love the honesty in his voice; he doesn't sugarcoat how fast this "wave" of change is coming. It made me feel a sense of urgency, but also a sense of responsibility to stay informed. I appreciated that he looked beyond just the "cool gadgets" and talked about how AI will change governments and global power.
It’s a sobering read, but I found it essential for understanding the sheer scale of the transformation we are all living through right now.
*An Economist, Financial Times, Guardian, Prospect and Sunday Times Book of the Year* Shortlisted for the FT and Schroders Business Book of the Year
This is the only book you need to understand our new world - from the ultimate AI insider, the CEO of Microsoft AI and co-founder of the pioneering AI company DeepMind.
'Important' YUVAL NOAH HARARI 'Excellent' BILL GATES 'Astonishing' STEPHEN FRY 'Stunning' RORY STEWART
Soon you will live surrounded by AIs. In a world of quantum computers, robot assistants and abundant energy, they will organise your life, operate your business, and run government services.
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…
Tina Edwards loved her childhood and creating fairy houses, a passion shared with her father, a world-renowned architect. But at nine years old, she found him dead at his desk and is haunted by this memory. Tina's mother abruptly moved away, leaving Tina with feelings of abandonment and suspicion.
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.
Bishop’s book laid the mathematical groundwork for me, making it a solid foundation for anyone venturing into Generative AI.
I love how it covers Bayesian inference, graphical models, and machine learning fundamentals in a clear, approachable way. I also think, in my personal opinion, that reading my book after this one would be a natural progression to understand where AI is heading, building on the core concepts that Bishop established.
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models…
Since I was a little boy, I’ve been passionate about technology and its potential to help people. After 25 years working in high tech, digital transformation, and artificial intelligence with a career spanning Intel, Google DeepMind, and a few successful startups I co-founded, I’ve pivoted to helping people, particularly leaders, understand how AI will transform business, education, and society, and how they can use AI to create new value and solve problems for people. AI is about to change everything about everything, and these books will help readers understand what’s coming and prepare themselves for humanity’s journey into an age of abundant intelligence.
This was a brave and interesting project that yielded a fascinating book. Reed Hoffman, founder of LinkedIn and a storied tech investor, co-wrote the book with GPT-4.
In doing so, he perfectly illustrates the book’s central premise: AI will amplify human capabilities. As a bonus, his book is now available for free online.
THE WALL STREET JOURNAL BESTSELLERImpromptu: Amplifying Our Humanity Through AI, written by Reid Hoffman with GPT-4, takes readers on a travelog of the future – exploring how AI, and especially Large Language Models like GPT-4, can elevate humanity across key areas like education, business, and creativity.But, it's not just a book, it's a conversation. In a first, Hoffman doesn’t just write about GPT-4; he interacts and writes with GPT-4, letting readers see the technology’s capabilities — its strengths and limitations alike. Using GPT-4 as his “author’s co-pilot,” Hoffman paints an intriguing, challenging, and often entertaining picture of what’s possible: where…
I'm passionate about what happens at the seam where creativity meets intelligent machines. My work moves between art, design, and AI, and these books sit on that exact edge. The questions they raise, about consciousness, imagination, alignment, and the honest reckoning with what we build, aren't abstract to me. They're the terrain I work in every day, in the studio and in the workshops I teach.
I think this is one of the most honest books I’ve read on AI.
Russell doesn’t perform gratuitous alarm or sell optimism, he reasons. In my own research and in the workshops I teach on creativity and AI, I’ve spent years around people building systems whose objectives I quietly questioned, and Russell gave me the vocabulary I’d been missing.
I love that he treats control not as a constraint on intelligence but as its precondition and preoccupation. It’s the rare AI book I trust.
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.…
The Duke's Christmas Redemption
by
Arietta Richmond,
A Duke who has rejected love, a Lady who dreams of a love match, an arranged marriage, a house full of secrets, a most unneighborly neighbor, a plot to destroy reputations, an unexpected love that redeems it all.
Lady Charlotte Wyndham, given in an arranged marriage to a man she…
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…
