Top AI books curated by experts

This book looks at AI from the outside in, focusing on the resources, labor, politics, and power structures behind modern AI systems. It is a strong pick for someone learning AI who wants more than technical basics and wants to understand the social, environmental, and ethical costs that come with …

Brian Christian looks at how modern machine learning systems can go wrong when their goals do not match human values. It is a strong pick for someone learning AI because it gives useful context on bias, reward design, fairness, and safety, and explains why these issues matter beyond just model perf…

The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possi…

Something new entered our world in November 2022 — the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our o…

This book explores a theory of how the brain works, especially how memory and prediction might produce intelligence. It is not a hands-on AI manual, but it is useful for readers who want conceptual background on intelligence and the ideas that have influenced parts of AI research.

This book gives a clear, big-picture look at how AI developed, what modern systems can actually do, and where the field may be headed next. It is a good pick for someone learning AI who wants context beyond tools and hype, especially from an experienced researcher who explains both the progress and…

Thelong-anticipated revision of ArtificialIntelligence: A Modern Approach explores the full breadth and depth of the field of artificialintelligence (AI). The 4th Edition brings readers up to date on the latest technologies,presents concepts in a more unified manner, and offers new or expanded cove…

Since it was first published in 2005, Ray Kurzweil’s The Singularity Is Near and its vision of an exponential future have spawned a worldwide movement. Kurzweil's predictions about technological advancements have largely come true, with concepts like AI, intelligent machines, and biotechnology now …

A solid introduction to machine learning focused on predictive analytics, with coverage of core algorithms, worked examples, and practical case studies. It is a good pick for someone learning AI who wants to understand how models are built and applied to real problems like classification, risk asse…

This is a foundational AI textbook that gives a broad view of the field, from search and reasoning to machine learning, robotics, and natural language processing. It is a good pick for someone who wants a serious, structured understanding of core AI ideas and the methods behind them.

This book gives a clear, big-picture look at AI, including what modern systems can do well and where they still fall short. It is a good pick for someone learning AI who wants a thoughtful, accessible overview without hype, especially around common misconceptions about machine intelligence.

This looks like an introductory AI book aimed at explaining the core ideas behind the field, including expert systems, natural language processing, speech recognition, and computer vision. Someone learning AI would pick it up to get a broad, beginner-friendly overview of how these major areas fit t…

This is a practical AI book that walks through real examples, from simple game-playing programs to chatbots and neural networks. It covers machine learning, deep learning, reinforcement learning, and applied topics like IoT and blockchain, so it fits someone who wants broad hands-on exposure to mod…

This book gives a big-picture look at machine learning, explaining the major schools of thought in AI and the idea of a future universal learning algorithm. It is a good pick for someone learning AI who wants context on how modern learning systems work, why they matter, and how they could shape bus…