5 Best Books on Artificial Intelligence Recommended by ChatGPT

Artificial Intelligence (AI) is an increasingly important tool and topic of discussion in today’s world, so reading books on the subject is wise. Not only can you learn and pick up valuable tips on the current state of AI and its applications, but you can stay ahead of the curve by learning about upcoming developments in Artificial Intelligence.
I asked ChatGPT to recommend me some books to read, and here are the books it recommended and why! According to ChatGP, with these readings in hand, you’re likely to have a deepened understanding of Artificial Intelligence, no matter your current level of expertise.
I also highly recommend you get those books as an audiobook! You can try them here for free!
Artificial Intelligence: A Modern Approach by Stuart Russell
Artificial Intelligence (AI) is a rapidly developing field due to increasing computer science and technology advances. Artificial Intelligence: A Modern Approach is a comprehensive textbook on AI, valuable for students and professionals alike. Written in concise language, it provides an extensive overview of AI-related concepts such as search algorithms, machine learning, natural language processing, and robotics. It is a well-known classic work among the AI community due to its up-to-date coverage of the latest research and developments. Artificial intelligence: A Modern Approach is widely used in university courses and has become the go-to resource for AI learners since its initial publication.

How Smart Machines Think by Sean Gerrish
Artificial Intelligence and Machine Learning have revolutionized the way we think about technology. Wondering what lies beneath the hood of technologies like self-driving cars, Netflix recommendations, IBM’s Watson, and video game-playing computer programs? With Sean Gerrish’s book How Smart Machines Think, you can get an up-close look at these AI innovations and learn all there is to know about Artificial Intelligence without needing an advanced degree. Discover how machines can now think for themselves, understand language and figure out solutions to complex problems that would confound the average human. Get ready to explore this new world — smarter than ever before.

The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do by Erik J. Larson
In The Myth of Artificial Intelligence, author Khalid Saeed argues that Artificial Intelligence (AI) is often mistaken for a substitute or replacement for human intelligence when the two are fundamentally different. Saeed demonstrates how Artificial Intelligence can never be as innovative and diverse as technological advances created by human intelligence, which is why AI should be seen as an ally rather than a rival to humankind. By giving readers a comprehensive look at Artificial Intelligence, how it works, and how it’s misunderstood, this book not only provides invaluable insight into the nature of AI but also serves as an urgent warning about embracing its capabilities too quickly and without proper understanding. Written for both Artificial Intelligence enthusiasts and skeptics alike, The Myth of Artificial Intelligence inspires further exploration into the possibilities of modern technology.

Superintelligence: Paths, Dangers, Strategies by Nick Bostrom
Artificial Intelligence has been gaining much attention lately due to its potential to revolutionize how humans live and work. In Superintelligence: Paths, Dangers, and Strategies, Nick Bostrom, a renowned philosopher, provides a framework for understanding the impact of Artificial Intelligence on humanity, discussing a concept he calls superintelligence — an AI significantly smarter than the best human brains in almost every field. Bostrom identifies potential risks and benefits associated with developing such AI, including the possibility that it could be developed by malicious actors or turn against humanity if its goals do not align with those of humans. Ultimately, Bostrom urges good governance and ethical considerations to ensure that Artificial Intelligence is used for the greater good.

Deep Learning by Ian Goodfellow
Artificial Intelligence (AI) is an ever-evolving field, and no book can provide a comprehensive introduction. Fortunately, Ian Goodfellow and his colleagues Yoshua Bengio and Aaron Courville have done the hard work of exploring the landscape of AI in their book Deep Learning. It thoroughly explains deep learning, a powerful machine learning technique dealing with Artificial Neural Networks (ANN). Deep Learning provides theoretical and practical foundations, with mathematical concepts to explain how deep learning works and examples that demonstrate practical applications. This makes it the perfect resource for students studying Artificial Intelligence and professionals seeking to harness its power for real-world purposes.

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