Best Books on AI: From Beginner to Expert Level

Artificial Intelligence isn’t just a field of technology; it’s a new lens through which to understand our future, ourselves, and the very fabric of society. With rapid advancements in AI, having a reliable guide through the crowded landscape of information is more crucial than ever.

According to McKinsey research, generative AI could add between $2.6 trillion to $4.4 trillion annually to the economy. This staggering potential underscores the importance of staying informed about AI’s capabilities, challenges, and ethical implications.

So, it’s time to get our heads round it, and develop a strong understanding of both the tech, but also how we can use it in our work, and in our daily lives. The best way to do this is by tuning into genuine experts. Here are the best books on AI that I’ve personally read. Most are available as audiobooks too btw (which is how I’ve read some of these).

Note: I run in-company training and public courses on AI for marketing. You can check on those here.

Best Books on AI for Beginners

If you’re new to AI and looking to get started without wading into technical jargon, these books are perfect for building a foundational understanding. They provide an accessible entry point, helping readers familiarize themselves with the key concepts, terminology, and real-world applications of AI.

1. “Artificial Intelligence For Dummies (2nd Edition)” by Luca Massaron and John Mueller

This book offers a non-technical introduction, distinguishing AI hype from reality, explaining algorithms, and showcasing practical AI applications. It’s an ideal starting point for those who want a broad overview of what AI is and how it fits into our world. The authors use simple language to break down complex topics, making AI accessible to anyone, regardless of their background.

2. “Artificial Intelligence Basics: A Non-Technical Introduction” by Tom Taulli

Tom Taulli’s book is aimed at readers without a technical background, focusing on AI’s societal impact and its applications across different industries. It addresses common questions about societal trends, future impacts, and the ethics of AI. The book is structured in an easy-to-follow format, with practical examples that help demystify how AI affects various sectors, from healthcare to finance.

3. “AI Literacy Fundamentals” by Ben Jones

This book serves as a friendly primer on basic AI concepts and its presence in daily life. It covers the history of AI and the deep learning revolution, making it perfect for readers who want to understand how AI fits into their everyday experiences. Ben Jones does an excellent job of explaining key concepts like machine learning and neural networks in a way that feels relevant and engaging.

Starting with these foundational books will help you develop a strong understanding of core AI concepts, such as machine learning, neural networks, and ethical implications, which will set the stage for grasping more advanced topics in the future. These books provide the building blocks needed to understand AI’s evolution and its potential, allowing you to appreciate both its current capabilities and future directions.

Best Books on AI for Growing Enthusiasts

For those who already grasp the basics of AI and want to delve deeper into its technical and ethical nuances, these books provide a critical exploration of AI’s evolution and current state. They are designed for readers who want to move beyond introductory knowledge and start understanding the broader landscape of AI research and application.

1. “Artificial Intelligence: A Guide for Thinking Humans” by Melanie Mitchell

This book provides a balanced examination of AI history, capabilities, limitations, and ethical considerations. Mitchell’s clear explanations and real-world examples make it a reliable guide for anyone wanting a realistic understanding of AI. She explores topics like the difference between narrow AI and general AI, and what current systems can and cannot do, which helps demystify some of the misconceptions about AI’s capabilities.

2. “The Worlds I See” by Dr. Fei-Fei Li

Categorised as the “BEST MEMOIR,” this book provides a personal and inspiring account of an AI pioneer’s journey. It blends Dr. Li’s story as an immigrant, her experience in the deep learning revolution, and insights into the historical context of AI. Her narrative not only covers her professional contributions but also emphasizes the human side of AI research, making it an inspiring read for anyone interested in the people behind the technology.

3. “A Brief History of Artificial Intelligence” by Michael Wooldridge

Considered the “BEST HISTORY,” Wooldridge’s book offers a comprehensive overview of AI—from its inception to its current state and future potential. Written by a leading AI researcher, it reflects on the societal implications and the dynamic evolution of the field. Wooldridge discusses pivotal moments in AI development, including the rise of machine learning and the impact of deep learning breakthroughs, offering readers a clear timeline of AI’s progression.

4. “Co-Intelligence” by Ethan Mollick

Ethan Mollick’s “Co-Intelligence” offers a refreshing perspective on the collaboration between humans and AI. Mollick focuses on how generative AI tools are already changing the way we work and live, emphasizing the importance of using AI as a partner rather than a replacement. His practical approach is perfect for readers who want to stay ahead of the curve and understand how AI can be harnessed effectively in real-world scenarios.

For those who already grasp the basics of AI and want to delve deeper into its technical and ethical nuances, these books provide a critical exploration of AI’s evolution and current state. They are designed for readers who want to move beyond introductory knowledge and start understanding the broader landscape of AI research and application.

These books are perfect for bridging the gap between basic understanding and more specialized knowledge, potentially inspiring further exploration into specific AI areas like natural language processing, ethical AI, or even advanced machine learning techniques. For continued learning, you might consider titles such as Grokking Deep Learning by Andrew W. Trask or Artificial Intelligence: Foundations of Computational Agents by David Poole and Alan Mackworth. These titles will provide further insight into the more complex and specialized facets of AI.

Best Books on AI for Experts

For readers with a strong technical background, these books cover complex AI topics, including deep learning, neural networks, and their practical applications. They are ideal for individuals looking to push the boundaries of AI knowledge and engage with the technology on a deeper, research-focused level.

1. “Deep Learning (Adaptive Computation and Machine Learning series)” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville

This book dives deep into the concepts of deep learning, covering foundational principles and the hierarchy of deep learning methods. It’s a must-read for those interested in pursuing careers in AI research or software engineering. The authors, who are leading experts in the field, provide a thorough explanation of the mathematics and theories that underpin deep learning, making it an invaluable resource for advanced learners.

2. “Neural Networks and Deep Learning” by Charu C. Aggarwal

Aggarwal’s book explores the relationship between traditional AI and deep learning, with a focus on advanced neural network concepts. It’s recommended for individuals in graduate-level studies or research roles with a focus on AI. The book includes detailed discussions on concepts like radial-basis function networks and reinforcement learning, offering readers the technical depth needed to contribute to cutting-edge research.

3. “Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning” by James Stone

This book offers an in-depth look at AI engines and their role in deep learning and neural networks. It delves into the mathematical analysis behind these technologies and is suited for readers with a keen interest in the technical intricacies of AI engines. Stone provides historical context as well, tracing the evolution of neural networks and examining how these models have transformed AI development, particularly in applications like healthcare and strategic gaming.

These books equip experts with in-depth knowledge and practical guidance for advancing AI research and development. They offer the tools and insights needed to not only understand but also innovate within the field of AI, paving the way for future advancements.

Best Books on AI Exploring Wider Implications

AI is not just about algorithms; it’s also about ethics, societal impact, and our future. For instance, issues like algorithmic bias, which can lead to unfair treatment in hiring or lending decisions, highlight the importance of ethical considerations in AI development. These books explore the broader implications of AI in ways that are accessible to a wide audience, emphasizing the need for responsible innovation.

1. “The Alignment Problem: Machine Learning and Human Values” by Brian Christian

Christian’s book examines the challenge of aligning AI with human values, addressing the risks of misaligned AI. It explores the complexities of defining and embedding ethical considerations in AI, making it an essential read for understanding this critical challenge. The book provides case studies on real-world issues involving biased algorithms, showcasing why ethical AI design is not just a technical problem but a deeply human one.

2. “Life 3.0: Being Human in the Age of Artificial Intelligence” by Max Tegmark

Max Tegmark’s Life 3.0 explores different scenarios for the future of intelligence and what they mean for humanity. The philosophical and ethical questions raised by Tegmark make this book a thought-provoking read for anyone considering the broader impact of AI. He paints vivid pictures of possible futures—both utopian and dystopian—and urges readers to think critically about the role we want AI to play in society.

3. “AI 2041: Ten Visions for Our Future” by Kai-Fu Lee and Chen Qiufan

Combining fictional narratives with expert commentary, AI 2041 presents a speculative but insightful view of AI’s future. The unique blend of fiction and non-fiction makes it an engaging way to envision how AI might shape our lives in the next few decades. Lee and Qiufan illustrate potential advancements and their societal impact, from smart cities to AI-driven healthcare, making complex topics accessible and thought-provoking.

4. “Homo Deus: A Brief History of Tomorrow” by Yuval Noah Harari

Yuval Noah Harari’s “Homo Deus” isn’t strictly about AI, but it’s essential reading for understanding the future of humanity in an age dominated by intelligent technologies. Harari delves into the evolutionary journey of humanity and explores what might come next as AI and biotechnology push us beyond our biological limits. His thought-provoking analysis challenges readers to consider the implications of AI on our identity, freedom, and future – making it a must-read for those exploring the societal impact of AI. Also, read his most famous book, and the precursor to ‘Home Deus’, ‘Sapiens‘, first for the full story.

These books provide a comprehensive journey through the world of AI, from foundational concepts to advanced technical knowledge and ethical considerations. Whether you’re a beginner, an enthusiast, or an expert, there’s something here for everyone.

AI is evolving rapidly, and staying informed is key to understanding its potential and navigating the challenges it brings. As AI becomes increasingly integrated into our daily lives, the importance of being educated on its implications cannot be overstated.

Choose the books that resonate with your interests and expertise level – and keep learning, because the story of AI is still being written.