10 books like Architects of Intelligence

By Martin Ford,

Here are 10 books that authors have personally recommended if you like Architects of Intelligence. Shepherd is a community of 7,000+ authors sharing their favorite books with the world.

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Intelligence and How to Get It

By Richard E. Nisbett,

Book cover of Intelligence and How to Get It: Why Schools and Cultures Count

Richard Nisbett is one of the most influential social psychologists in the world, and we collaborated on the 1987 book Induction. His book on intelligence gives a good introduction to the psychology of intelligence and an incisive critique of attempts to use dubious research on a genetic basis for intelligence to explain racial inequality.

Intelligence and How to Get It

By Richard E. Nisbett,

Why should I read it?

2 authors picked Intelligence and How to Get It as one of their favorite books, and they share why you should read it.

What is this book about?

Who are smarter, Asians or Westerners? Are there genetic explanations for group differences in test scores? From the damning research of The Bell Curve to the more recent controversy surrounding geneticist James Watson's statements, one factor has been consistently left out of the equation: culture. In the tradition of Stephen Jay Gould's The Mismeasure of Man, world-class social psychologist Richard E. Nisbett takes on the idea of intelligence as biologically determined and impervious to culture with vast implications for the role of education as it relates to social and economic development. Intelligence and How to Get It asserts that intellect…


The Nature of Human Intelligence

By Robert J. Sternberg,

Book cover of The Nature of Human Intelligence

This collection of essays gives a good overview of current psychological research on human intelligence, ranging from traditional IQ research to criticisms of it by Robert Sternberg and Howard Gardner. It also includes overviews of research on cultural and brain aspects of intelligence. One startling observation is how little psychologists agree on a definition of intelligence.

The Nature of Human Intelligence

By Robert J. Sternberg,

Why should I read it?

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

What is this book about?

The study of human intelligence features many points of consensus, but there are also many different perspectives. In this unique book Robert J. Sternberg invites the nineteen most highly cited psychological scientists in the leading textbooks on human intelligence to share their research programs and findings. Each chapter answers a standardized set of questions on the measurement, investigation, and development of intelligence - and the outcome represents a wide range of substantive and methodological emphases including psychometric, cognitive, expertise-based, developmental, neuropsychological, genetic, cultural, systems, and group-difference approaches. This is an exciting and valuable course book for upper-level students to learn…


Are We Smart Enough to Know How Smart Animals Are?

By Frans de Waal,

Book cover of Are We Smart Enough to Know How Smart Animals Are?

For a long time I’ve had the feeling that we undersell animals by looking at their capabilities all wrong. We tend to judge their intelligence by human standards, which is a little bit like suggesting a person speaking a foreign language is making no sense. Albert Einstein purportedly wrote, “Everybody is a genius. But if you judge a fish by its ability to climb a tree, it will live its whole life believing that it is stupid.” Animals see the world differently, which is a thing of great beauty in most cases, and something I feel I’m a better person for studying. Someone finally approached animals without the overwhelming human bias, and I have to say it's about time.

Are We Smart Enough to Know How Smart Animals Are?

By Frans de Waal,

Why should I read it?

2 authors picked Are We Smart Enough to Know How Smart Animals Are? as one of their favorite books, and they share why you should read it.

What is this book about?

Hailed as a classic, Are We Smart Enough to Know How Smart Animals Are? explores the oddities and complexities of animal cognition-in crows, dolphins, parrots, sheep, wasps, bats, chimpanzees, and bonobos-to reveal how smart animals really are, and how we've underestimated their abilities for too long. Did you know that octopuses use coconut shells as tools, that elephants classify humans by gender and language, and that there is a young male chimpanzee at Kyoto University whose flash memory puts that of humans to shame? Fascinating, entertaining, and deeply informed, de Waal's landmark work will convince you to rethink everything you…


How We Learn

By Stanislas Dehaene,

Book cover of How We Learn: Why Brains Learn Better Than Any Machine . . . for Now

Stanislas Dehaene is one of the leading European cognitive scientists and this book provides a deep discussion of the neuroscience of learning, a key component of intelligence. He makes a strong case that current machine learning techniques are inferior to the processes that operate in human brains even in the womb. He draws out important implications for education concerning how people learn best.

How We Learn

By Stanislas Dehaene,

Why should I read it?

1 author picked How We Learn as one of their favorite books, and they share why you should read it.

What is this book about?

"There are words that are so familiar they obscure rather than illuminate the thing they mean, and 'learning' is such a word. It seems so ordinary, everyone does it. Actually it's more of a black box, which Dehaene cracks open to reveal the awesome secrets within."--The New York Times Book Review

An illuminating dive into the latest science on our brain's remarkable learning abilities and the potential of the machines we program to imitate them

The human brain is an extraordinary learning machine. Its ability to reprogram itself is unparalleled, and it remains the best source of inspiration for recent…


The Deep Learning Revolution

By Terrence J. Sejnowski,

Book cover of The Deep Learning Revolution

The other books in this series are mostly about the real brain. But artificial intelligence promises us a new enhanced brain. What does the future hold? Terrence Sejnowski is a neuroscientist who was one of the first to realize the potential of AI. Since he has been there from the start, in this book he gives the reader an exciting inside story on the people and the advances that are reshaping our lives.

Early attempts at AI were limited, but once computational power took off big computers running multilayer neural nets began proving that they could defeat humans at the most demanding games, enhance human capabilities such as pattern recognition, text recognition, language translation, and driverless vehicles, and work to obtain rewards, just like a human. While these advances are dramatic, it is well to remember that the networks are built not from representations of real neurons, but rather from…

The Deep Learning Revolution

By Terrence J. Sejnowski,

Why should I read it?

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

What is this book about?

How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy.

The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

Sejnowski played an important…


Artifictional Intelligence

By Harry Collins,

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

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.

Artifictional Intelligence

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…


Grokking Deep Learning

By Andrew W. Trask,

Book cover of Grokking Deep Learning

This book is a fantastic intro to someone who really wants to intuitively understand deep learning. It can help you clear up things where you are stuck or simply if you’re having trouble explaining parts of your algorithm to your business stakeholders. It is also a really good preparation if you want a really solid, practical basis to come up with new tweaks or types of models.

Grokking Deep Learning

By Andrew W. Trask,

Why should I read it?

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

What is this book about?

Artificial Intelligence is the most exciting technology of the century, and Deep Learning is, quite literally, the "brain" behind the world's smartest Artificial Intelligence systems out there.


Grokking Deep Learning is the perfect place to begin the deep learning journey. Rather than just learning the "black box" API of some library or framework, readers will actually understand how to build these algorithms completely from scratch.



Key Features:
Build neural networks that can see and understand images
Build an A.I. that will learn to defeat you in a classic Atari game
Hands-on Learning


Written for readers with high school-level math and…


Human Compatible

By Stuart Russell,

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

As ever more powerful AI-based tools are created, Russell asks the question (and provides some answers) as to how we can ensure that we stay in the control of our creations. In particular, what safeguards are needed to protect us from something that will potentially be more intelligent than ourselves? Some might argue that this is all just science fiction and, even if it’s possible to build machines that are more intelligent than we are, it’s a problem for the distant future. However, there are many areas where AI is already making the key decisions about how we are treated. For example, whether or not to offer you a job or if you should get that loan you applied for. Consequently, I found this book to present a compelling case that controlling AI is something that we need to address as a matter of urgency, sooner rather than later.

Human Compatible

By Stuart Russell,

Why should I read it?

2 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.…


The Alignment Problem

By Brian Christian,

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

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.

The Alignment Problem

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…


Machine Learning

By Peter Flach,

Book cover of Machine Learning

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.

Machine Learning

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…


5 book lists we think you will like!

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