5 books about Artificial Intelligence you can’t miss out on

Artificial Intelligence is the one that happens through machines, with the help of a series of algorithms that emulate the same capacities as a human being. Thus, artificial neural networks, robots, expert systems and intelligent agents are the result of many types of AI.

Basically, their goal is to make people’s lives easier. So, if you want some day-to-day life examples? You can find AI in voice assistants, chatbots, face recognition in your smartphone, etc.

Unquestionably nowadays, there’s an accelerated growth of AI in the world. For example, Servion predicts that, by 2025 AI will boost 95% of all interactions with clients, including live phone conversations where human will be unable to “detect the bot”.

Because of said scenario, where there’s a lot of information about it on the Internet, I have decided to make a selection of 5 great books that you can’t miss:

Five books about Artificial Intelligence (AI)

Life 3.0: Being human in the age of artificial intelligence

Life 3.0: Being human in the age of artificial intelligence

How will AI affect crime, war, justice, work, society and the meaning of our lives? Is it possible for machines to leave us out of the game, replacing humans in the labor market and other spheres? Will AI provide unprecedented upgrades or will it give them more power than they can handle?

In essence, these are the questions that Max Tegmar wants to unravel in the pages of this book from 2017, that you can find on Amazon.  

The author describes how things could go wrong, using tangible examples of real life. He doesn’t just make assumptions; he proposes actions to prevent it. Tegmar covers controversial topics that humanity will have to address in the next decades.  

This is a stimulating book that will change the way we think about AI, intelligence and the future of humanity

Bart Selman, Computer Science professor at the University of Cornell.

Artificial Intelligence: A Modern Approach

Artificial Intelligence: A Modern Approach

It’s a leading text in AI, that has its fourth edition this 2020. It’s used in over 1400 schools, of 120 countries or more. Its authors are Stuart Russel and Peter Norvig.

This book, available in Amazon is considered the most thorough introduction to the theory and practice of AI. In summary it explores all the reach of this field.

Moreover, this fourth edition updates the readers on the latest technologies, it presents concepts in a more unified way and offers full coverage on automatic learning, deep learning, robotics, natural language processing, probabilistic reasoning, privacy, equity and secure AI, among other important subjects of the fascinating AI field.

Rebooting AI: Building Artificial Intelligence We Can Trust

Rebooting AI: Building Artificial Intelligence We Can Trust

In this book, its authors state that society is still far from developing superintelligent machines. In other words, machines that exceed in great measure the cognitive performance of humans in practically all the domains of interest.

The professors: Gary Marcus and Ernest Davis, authors of the volume, argue that researchers will have to endow AI with common sense to ensure logic upgrades.

Finally, a book that says out loud what every expert in AI is thinking. All the Executive Directors must read and all other members of the company as well. Then they will be able to separate the AI wheat from the chaff and know where we are, how far we must go and how we can get there”,

Pedro Domingos, Computer Science professor at the University of Washington and author of The Master Algorithm.

Find it in Amazon, here

Superintelligence: Paths, Dangers, Strategies

Superintelligence: Paths, Dangers, Strategies

What happens when machines exceed humans in general intelligence? Will the artificial agents safe or destroy us? It’s these questions associated to superintelligence, that this book covers, and it provides us with resources to better understand the future of humanity and intelligent life. Nick Bostrom, its author, relies on metaphors to illustrate it.

Especially the owl in the front cover catches everyone’s attention. It turns out that in a colony of sparrows, tired of manual and repetitive activities, a member decides to bring an owl. Owls are stronger and faster. This way, the sparrows would be able to dedicate extra time to take care of the small ones and the elderly. It sounded like a great idea, everyone was on board, except one member of the community who argues that it would be difficult to domesticate an owl and sentences: “This will probably be our ruin, shouldn’t we think a little bit more about how to tame owls before bringing this creature to live among us?”. Certainly a wonderful analogy for the message that this book intends to get through to us.

“I very much recommend this book”, says Bill Gates about Nick Bostrom’s text, which you can find on Amazon.

Analytics of Life: Making Sense of Data Analytics, Machine Learning & Artificial Intelligence

Analytics of Life: Making Sense of Data Analytics, Machine Learning & Artificial Intelligence

This book provides the reader with a vast description of data analysis and artificial intelligence. It allows us to understand different phases of AI, risks and potent benefits. It gives us a way of analyzing Big Data and automatic learning that helps us get the most out of this technology.

What is the difference between AI, automatic learning and data analysis? Why is data analysis the best professional step forward? How can you apply data analysis at work or in your SME? These are some questions that Mert Damlapinar answers in this text.

A great list of cases of potential uses for artificial intelligence and advanced analysis capacities. It covers examples of uses of this tech to upgrade health care, entrepreneurial performance, governments, nature and the well-being of citizens.

Nate Novosel of Gartner, about this book.

Find it in Amazon, here.

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John Lea

Master of Business Administration and Professor of Digital Marketing. I really agree with Albert Einstein on this one: "If you can't explain it to a 6-year-old, it means you don't know it. "

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