The best books and white papers to learn about artificial intelligence.
Artificial intelligence is taking over how products get made, how jobs get completed, and how lives get lived.
People must know how AI has come this far, why it is where it is, and where it is going from this point.
There are people on both sides of the AI spectrum. From people who think the mass production of artificial intelligence is good to those who believe it could be bad for humanity. Some people are also on the fence, waiting to see how this all plays out.
If you want to know more about AI research, it is suggested you look for some artificial intelligence books to read so you could learn more about the subject.
It’s hard to make an educated decision about anything until you’ve learned enough about it.
Once you’ve exhausted the books on this list of our top artificial intelligence books, you can move on to the whitepapers. Most of the research papers got published more recently; however, they do not go into the topic as in-depth as the books.
So, without further ado, here are these recommended titles that you need to consider reading:
Top 20 Books and Whitepapers on Artificial Intelligence
Whether you’ve spent decades being an artificial intelligence guru, or would like to be one, the following AI-related materials will keep you in the know regarding the latest trends.
Artificial Intelligence Books:
Artificial Intelligence: A Modern Approach by Russell and Norvig
This textbook is one of the most comprehensive books on artificial intelligence available.
It is a perfect choice for students that are studying either one semester or a two-semester course on the subject at either undergraduate or postgraduate level.
The third edition, which now includes Dr. Norvig as co-author, is the most up-to-date with information on both the theory and practice of AI.
Stuart Russell obtained his BA in Physics with high honours from Oxford University at the age of 20, and his Ph.D. in computer science from Stanford University a mere four years later. He is currently faculty at the University of California at Berkeley.
Peter Norvig works for Google as Director of Research. He is an American Association for Artificial Intelligence Fellow as well as a Fellow of the Association for Computing Machinery.
Machine Learning by Tom M. Mitchell
When looking for artificial intelligence books, you should start your research here.
This book, published in 1997, has been referenced time and time again when it comes to understanding computer algorithms that allow machines to get better over time, on their own.
There are many learning styles, as well as learning theories covered in this book. It got written so that you don’t need to have prior knowledge of AI to pick up the book and start learning.
Tom M. Mitchell is a professor in the Machine Learning Department in the School of Computer Science at Carnegie Mellon University.
How to Create a Mind: The Secret of Human Thought Revealed by Ray Kurzweil
In this book, the highly creative Kurzweil describes how to engineer a computer brain as complex as a human brain by first figuring out how the human mind works.
He intends to use advancements in neuroscience, his research, and the most up-to-date AI research to reverse-engineer the human brain using technology. Artificial Intelligence is going to change life in major ways.
Ray Kurzweil has won multiple prizes for his theories and inventions, nine honorary doctorates, and several honours from American presidents.
The Singularity is Near by Ray Kurzweil
In his book ‘The Singularity Is Near’, Ray Kurzweil describes what he means by “The Singularity.”
That singularity is the combination, slowly and over time, of human intelligence with that of artificial intelligence.
This technological singularity will eventually take the already complex human mind and advance it to the point of computer intelligence, which could become vastly superior in many ways.
While Kurzweil doesn’t deny the consequences of this development, he leans towards an optimistic view of what this new future will look like.
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind by Marvin Minsky
Instead of thinking as thoughts, intuitions, feelings, and emotions as separate from each other, Minsky believes – and describes in his book – that all of these things are simply different thought processes, and if we learn how to harness this, we could teach machines to think like humans, and therefore also have intuitions, feelings, and emotions.
Marvin Minsky is a cognitive scientist and was a co-founder of the Massachusetts Institute of Technology’s AI Lab. He was mostly involved with research of AI theories and practices.
The Economic Singularity: Artificial Intelligence and the Death of Capitalism by Calum Chace
In this book, Chace argues that “Economic Singularity” is coming within a few decades and that most people will not be able to work for money because AI will be doing all or most of the work.
Depending on how we plan, he says, this could be potentially good – or it could be devastating to the world economy. Hence; we need a new one. Robots are becoming more and more of a norm in many places, and soon they will be in every workplace taking over mundane tasks.
It’s not long before AI starts doing tasks that we’ve always thought would require a human mind or touch to perform.
Calum Chace is a full-time writer, before becoming an author he had a career in journalism and also in a business where he worked as everything from a marketer to CEO.
Superintelligence: Paths, Dangers, Strategies by Nick Bostrom
Bostom uses a great analogy to compare what may happen one day if the general intelligence of machines was to become greater than that of humans.
At the time of writing, the fate of gorillas and the other species of Planet Earth are in the hands of humans with their superior brainpower.
Yet it seems so far humans lack more care about the environment than the actual species.
How would AI with superior intelligence look at humans?
Would they treat us favourably or look down on us?
Would they wipe out human existence, which is the minority, to save the majority, which is non-human life?
Nick Bostrom, professor and faculty at Oxford University, explores the answers to these questions.
The Philosophy of Artificial Intelligence by Margaret A. Boden
This collection of readings looks at the issues – philosophically – facing artificial intelligence.
There are both classic and contemporary readings from a wide range of experts and thought-leaders on AI.
The question at hand is whether or not a computer, or many computers, could be made to mimic the human mind.
Margaret A Boden has edited this Cambridge handbook and includes both a comprehensive reading list and an informative introduction to bring readers into the subject.
The Emperor’s New Mind: Concerning Computers, Minds, and the Laws of Physics by Roger Penrose and Martin Gardner
Unlike most artificial intelligence books, this thorough research shows that an artificially intelligent machine will never be capable of doing what a human mind can do.
Sir Roger Penrose claims this by sharing his research in physics, mathematics, cosmology, and philosophy.
Whether you currently hold a belief that artificial intelligence can match that of a human or not, this book is a must-read.
Sir Roger Penrose is the Emeritus Rouse Ball Professor of Mathematics at Oxford University as well as an Emeritus Fellow of Wadham College.
Artificial Intelligence Simplified: Understanding Basic Concepts by Dr Binto George and Gail Carmichael
This book simplifies the core of what artificial intelligence is and what you need to know to start learning about it.
This AI textbook is something that could be read before diving into a more advanced textbook, or pre-reading before taking an actual college course on AI.
Written by Eliezer Yudkowsky (and sponsored by the Machine Intelligence Research Institute), this whitepaper looks at the many consequences artificial intelligence could have in the future if it continues to grow as fast as it is.
Because we don’t know where it is headed, there is no way of knowing whether those effects will be positive or negative. So Yudkowsky looks at both outcomes.
Eliezer Yudkowsky works at the Machine Intelligence Research Institute as a full-time Research Fellow and lives in the San Francisco Bay, CA area.
This whitepaper explores the idea that we’ve always had to come to terms with new or advancing technologies. It concludes that eventually, we realise that these technologies better our lives in one form or another.
It’s argued that artificial intelligence (or “augmented intelligence” as IBM likes to call it) will be the same way as it advances as well. We will learn to adjust to its ever-increasing presence in our lives, and that presence will enhance our lives.
This artificial intelligence white paper was written by Dr Guruduth Banavar, who is the Chief Science Officer of Cognitive Computing and the Vice President of IBM Research.
Discussed at a meeting of the European Union in Marrakesh, this paper focuses on why it is so important to start considering the data protection and privacy issues that are raised when artificial intelligence and robotics are a topic.
Because these computers are supercomputers and can function beyond what we’ve seen before, and as advancements take them even further into the supercomputer realm, we need to take a stand now as to how to protect data and the privacy of everyone on the planet.
When it comes to financials, most people go to the bank or log in to their online banking and they say a few things or click a few buttons and what they need to do is done. But think about what needed to happen even ten years ago for all that you just did to happen.
Technology advancements, especially in the area of artificial intelligence, have taken away a lot of steps needed to get things done financially so it’s easier for individuals and businesses to work smarter. Well, we shouldn’t say it’s taken away those steps so much as done them for us.
In this whitepaper, one of the best artificial intelligence white papers that you should read on the topic of AI research, several researchers consider what areas of research would be most beneficial to humankind and why.
They give all their reasons, backed by sound science as well as their experience and opinion, which is both trustworthy and notable.
Stuart Russell is a professor of computer science at the University of California, Berkley where he is also a Smith-Zadehprofessor in engineering.
Daniel Dewey is a program manager for the Open Philanthropy Project.
Max Tegmark is a professor at MIT and a Swedish–American cosmologist.
This paper, by Evry, looks to educate readers as to why new AIcompanies are creating a new artificial intelligence revolution by making old AI outdated and creating an entirely new future with the technology in many industries.
It’s essential to look at why, when creating a business with artificial intelligence, you need to start from the ground up even if the result of the market is the same as the old one. The whole process is unique when you use different technology.
It has been a pleasure to provide you with this list of top Artificial Intelligence books and whitepapers.
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