100 books like Genius Makers

By Cade Metz,

Here are 100 books that Genius Makers fans have personally recommended if you like Genius Makers. Shepherd is a community of 11,000+ authors and super readers sharing their favorite books with the world.

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Book cover of Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

Manil Suri Author Of The Big Bang of Numbers: How to Build the Universe Using Only Math

From my list on to make you fall in love with mathematics.

Why am I passionate about this?

I’m a mathematics professor who ended up writing the internationally bestselling novel The Death of Vishnu (along with two follow-ups) and became better known as an author. For the past decade and a half, I’ve been using my storytelling skills to make mathematics more accessible (and enjoyable!) to a broad audience. Being a novelist has helped me look at mathematics in a new light, and realize the subject is not so much about the calculations feared by so many, but rather, about ideas. We can all enjoy such ideas, and thereby learn to understand, appreciate, and even love math. 

Manil's book list on to make you fall in love with mathematics

Manil Suri Why did Manil love this book?

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.  

By Cathy O’Neil,

Why should I read it?

11 authors picked Weapons of Math Destruction as one of their favorite books, and they share why you should read it.

What is this book about?

'A manual for the 21st-century citizen... accessible, refreshingly critical, relevant and urgent' - Financial Times

'Fascinating and deeply disturbing' - Yuval Noah Harari, Guardian Books of the Year

In this New York Times bestseller, Cathy O'Neil, one of the first champions of algorithmic accountability, sounds an alarm on the mathematical models that pervade modern life -- and threaten to rip apart our social fabric.

We live in the age of the algorithm. Increasingly, the decisions that affect our lives - where we go to school, whether we get a loan, how much we pay for insurance - are being made…


Book cover of Power and Prediction: The Disruptive Economics of Artificial Intelligence

Art Kleiner Author Of The AI Dilemma: 7 Principles for Responsible Technology

From my list on understanding AI and its effect on people.

Why am I passionate about this?

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. 

Art's book list on understanding AI and its effect on people

Art Kleiner Why did Art love this book?

This is the book I suggest to people who worry that AI will take their jobs or control the world.

These U of Toronto economists make a case for AI as a disruptor of systems and power structures – not on their own, but because of the decision makers who control them. Those companies won’t necessarily be Alphabet, Amazon, or Meta. Their competitive advantage – access to data – will now be available cheaply.

It’s judgment that’s at a premium now. After reading this, I feel pretty trusting of AI. I’m just not so sure about people.   

By Ajay Agrawal, Joshua Gans, Avi Goldfarb

Why should I read it?

1 author picked Power and Prediction as one of their favorite books, and they share why you should read it.

What is this book about?

Disruption resulting from the proliferation of AI is coming. The authors of the bestselling Prediction Machines can help you prepare.

Artificial intelligence (AI) has impacted many industries around the world-banking and finance, pharmaceuticals, automotive, medical technology, manufacturing, and retail. But it has only just begun its odyssey toward cheaper, better, and faster predictions that drive strategic business decisions. When prediction is taken to the max, industries transform, and with such transformation comes disruption.

What is at the root of this? In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet…


Book cover of Risk Thinking: ...In an Uncertain World

Art Kleiner Author Of The AI Dilemma: 7 Principles for Responsible Technology

From my list on understanding AI and its effect on people.

Why am I passionate about this?

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. 

Art's book list on understanding AI and its effect on people

Art Kleiner Why did Art love this book?

Another classic, which influenced my book. Ron is the founder of RiskThinking AI, which focuses on the financial effects of climate change.

His fascinating stories include one of the first fatalities from self-driving cars, when it struck a woman with a bicycle running to cross the road. Any human driver would have seen an uncertain image and slowed down, playing out a group of possible scenarios. But AI hasn’t learned that kind of humility.

Eventually, when it does, the machines and people will learn how to manage risk together, and that will lead to more courage. The best part of this book is his insight into how the use of new technology changes human behavior.  

By Ron S Dembo,

Why should I read it?

1 author picked Risk Thinking as one of their favorite books, and they share why you should read it.

What is this book about?

Our age of radical uncertainty requires a new way of assessing risk that pays more attention to the extreme outliers that too often become tomorrow’s reality.

Today’s models cannot cope with the frightening new unpredictable risks we face every day that frequently seem to come out of left field – the effects of climate change, a killer pandemic, a cascading wildfire, a financial crisis triggered by faceless algorithms, or a devastating cyber-attack that shuts down the electric power grid.

This accessible book advocates a new, more realistic approach to analyzing risk and strategizing—one that is less reliant on a single…


Book cover of AI 2041: Ten Visions for Our Future

Christian Hugo Hoffmann Author Of The Quest for a Universal Theory of Intelligence: The Mind, the Machine, and Singularity Hypotheses

From my list on making sense of the I in AI.

Why am I passionate about this?

I embarked on this arduous journey of making sense of the I in AI while working as an Assistant Professor of Finance, which, however, began to look increasingly uninteresting and oppressive. With this innovative endeavor, I return home to philosophy. Apart from being passionate about AI in academia, I’m a tech entrepreneur by heart with three software start-ups in Germany, Switzerland, and Malawi under my belt. Moreover, I served as Deputy Director of and Head of AI at the Swiss Fintech Innovation Lab in Zurich, as Director of Startup Grind Geneva, and I continue to fulfill my role as start-up coach/judge and mentor in various startup programs.

Christian's book list on making sense of the I in AI

Christian Hugo Hoffmann Why did Christian love this book?

AI is arguably the most disruptive technology that humankind has ever developed. AI development has come in different waves since the 1950s and, over time, the machine intelligence has increased.

Where will this ongoing trend lead us in the future? I love Kai-Fu Lee and Chen Qiufan’s book for two chief reasons: On the one hand, I found it highly rewarding as a reader to learn about the future of AI and its practical impact on our everyday life by gaining insights into today’s variety of AI methods, the challenges they pose as well as into how those challenges will be overcome in the next 10 to 20 years.

On the other hand, I have been deeply impressed by the strength of the author team with a complimentary skillset. While Kai-Fu Lee worked both in Chinese and US-American internet sector as a leading software engineer, thereby combining very interesting perspectives,…

By Kai-Fu Lee, Chen Qiufan,

Why should I read it?

4 authors picked AI 2041 as one of their favorite books, and they share why you should read it.

What is this book about?

A WALL STREET JOURNAL, WASHINGTON POST, AND FINANCIAL TIMES BEST BOOK OF THE YEAR

In this ground-breaking blend of imaginative storytelling and scientific forecasting, a pioneering AI expert and a leading writer of speculative fiction join forces to answer an imperative question: How will artificial intelligence change our world within twenty years?

AI will be the defining development of the twenty-first century. Within two decades, aspects of daily human life will be unrecognizable. AI will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand new forms of communication and entertainment. In liberating us from routine work,…


Book cover of The Alignment Problem: Machine Learning and Human Values

Benjamin Todd Author Of 80,000 Hours: Find a Fulfilling Career That Does Good

From my list on how to have a positive social impact with careers.

Why are we passionate about this?

We’re a nonprofit that aims to help people have a positive social impact with their careers. Since you have, on average, 80,000 hours in your career, what you decide to do with that time might be your biggest opportunity to make a difference. Over the past ten years, we’ve conducted careful research into high-impact careers, and have helped thousands of people plan a career that has a high positive impact. 

Benjamin's book list on how to have a positive social impact with careers

Benjamin Todd Why did Benjamin love this book?

One example of an especially pressing threat facing humanity is the rapid development of artificial intelligence. If we want this new technology to go well, it needs to be ‘aligned’ – that is, it should have or act on the same values as us. 

In this book, Brian sets out why aligning artificial intelligence is an extremely tricky issue and one which deserves more attention from talented and dedicated people.

By Brian Christian,

Why should I read it?

1 author picked The Alignment Problem as one of their favorite books, and they share why you should read it.

What is this book about?

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us-and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.

Systems cull resumes until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole-and appear to assess Black…


Book cover of Human Compatible: Artificial Intelligence and the Problem of Control

Dean Anthony & Sarah-Jayne Gratton Author Of Playing God with Artificial Intelligence

From my list on groundbreaking books on the future of AI.

Why are we passionate about this?

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.

Dean's book list on groundbreaking books on the future of AI

Dean Anthony & Sarah-Jayne Gratton Why did Dean love this book?

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!

By Stuart Russell,

Why should I read it?

3 authors picked Human Compatible as one of their favorite books, and they share why you should read it.

What is this book about?

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.…


Book cover of Artificial Intelligence: A Modern Approach

Martin Musiol Author Of Generative AI: Navigating the Course to the Artificial General Intelligence Future

From my list on future-proof yourself for the AI era.

Why am I passionate about this?

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.

Martin's book list on future-proof yourself for the AI era

Martin Musiol Why did Martin love this book?

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.

Book cover of Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play

Martin Musiol Author Of Generative AI: Navigating the Course to the Artificial General Intelligence Future

From my list on future-proof yourself for the AI era.

Why am I passionate about this?

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.

Martin's book list on future-proof yourself for the AI era

Martin Musiol Why did Martin love this book?

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.

By David Foster,

Why should I read it?

1 author picked Generative Deep Learning as one of their favorite books, and they share why you should read it.

What is this book about?

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…


Book cover of Machine Learning

Matthew Kirk Author Of Thoughtful Machine Learning with Python: A Test-Driven Approach

From my list on ethical artificial intelligence.

Why am I passionate about this?

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.

Matthew's book list on ethical artificial intelligence

Matthew Kirk Why did Matthew love this book?

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.

By Peter Flach,

Why should I read it?

1 author picked Machine Learning as one of their favorite books, and they share why you should read it.

What is this book about?

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…


Book cover of Artifictional Intelligence: Against Humanity's Surrender to Computers

Peter J. Bentley Author Of Artificial Intelligence and Robotics: Ten Short Lessons

From my list on no hype and no nonsense artificial intelligence.

Why am I passionate about this?

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?

Peter's book list on no hype and no nonsense artificial intelligence

Peter J. Bentley Why did Peter love this book?

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.

By Harry Collins,

Why should I read it?

1 author picked Artifictional Intelligence as one of their favorite books, and they share why you should read it.

What is this book about?

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…


5 book lists we think you will like!

Interested in artificial intelligence, machine learning, and presidential biography?

Machine Learning 53 books