AI Books you should read in 2021

As of late, every year seems to be a "break-out" year for AI. So, it's time for you to get ready for the future in the age of automation. This collection of books will help you prepare for the many opportunities to come, many of which may not have yet been imagined.

By Przemek Chojecki, CEO Contentyze.

2020 was the year of remote work and growing automation. We learned to work from home, and many companies went completely digital. Artificial Intelligence got a huge boost last year — more data to learn on, more processes to automate and optimize. It seems 2021 and beyond will hold even more opportunities for the applications of AI. Let’s prepare for this bright new future with a list of books.

Best Artificial Intelligence books to read in 2021. Prepare for the future of automation.


Sociological AI books


The most pressing issue is how AI will influence us as a human race and what future it will bring us. Elon Musk often warns about the policies — we have to make our policies right —to make sure that we will have a sustainable development of Artificial Intelligence rather than bad experiments bringing catastrophic consequences and deepening inequalities.

Homo Deus: A Brief History of Tomorrow is now a classic book about how technology, Artificial Intelligence, in particular, impacts societies. The author presents a historical perspective and discusses ramifications for our present and future. A must-read!

The Singularity is Near popularized the term ‘Singularity’, a moment when artificial intelligence algorithms will be as intelligent as humans on average across all disciplines (think Alexa on steroids).

Ray Kurzweil, the author, is a well-known futurist who lives by his own principles, trying to live to the singularity moment around 2040. Enter the world of the Singularity and what it will change in how we operate as humans.


Philosophical AI books


Looking into the future, we can see the Singularity, a moment when Artificial Intelligence capabilities will surpass those of humans on average across all domains. This will be a moment of profound change, and though it might never come (or it’ll be here by 2040), it’s worth thinking from this future perspective about what we are doing right now, especially who we are as humans and where we’re going.

Superintelligence is the classic reference for thinking about Artificial Intelligence and Artificial General Intelligence. Nick Bostrom analyses different levels of AI, arriving at the concept of AGI, an AI at the level and beyond general human intelligence, able to cope with any creative task. A dense book, but worth it!

Life 3.0 is another take on Artificial General Intelligence and what it might mean for humans if AI were much more intelligent than us. It has really great examples and starts with a fascinating story of how AGI might enter the world and allow one company to dominate. A vivid narrative!


Business-oriented AI books


Artificial Intelligence wouldn’t be that popular if it hadn’t found so many applications across so many sectors in the business world, now more than ever. Using AI in the form of machine learning is ubiquitous. Here’s a very practical list of business books focused on Artificial Intelligence.

AI Superpowers is a book on how China jumped on the AI wagon and started innovating on a massive scale. Kai-Fu Lee demonstrates the differences between Silicon Valley and the Chinese start-up ecosystem. Great lessons for anyone interested in entrepreneurship as well as what it takes to build AI start-ups.

Artificial Intelligence Business is a concise guide to Artificial Intelligence for business people and commercially oriented data scientists. It goes through all the most popular applications across branches like finance, logistics, entertainment, and more. You’ll find many examples of companies using AI to their benefit, as well as methods for implementing AI in your organization.

Applied Artificial Intelligence is designed with business leaders in mind. It gives you a framework to think about Machine Learning, Deep Learning, AGI, ANI, and shows multiple use-cases in today's business world. Interesting for people interested in policy-making.


Original. Reposted with permission.