Article last updated on:
December 27, 2023

There is no single best book to read about AI, however this guide:

All titles below can found as hard copies & eBooks.

Let’s go!

Listed: 10 best books on AI in 2023

1. “Life 3.0: Being Human in the Age of Artificial Intelligence”

Written by Max Tegmark.

Being Human in the Age of Artificial Intelligence - Book on AI
  • Pros: Comprehensive overview, accessible
  • Cons: Less technical
  • Pricing: Around $18
  • Features: Future scenarios, ethics

Read online: Life 3.0: Being Human in the Age of Artificial Intelligence

2. “Superintelligence”

Written by Nick Bostrom.

Superintelligence - Book on AI
  • Pros: Deep analysis, thought-provoking
  • Cons: Dense read
  • Pricing: Around $16
  • Features: Risk assessment, future paths

Read online: Superintelligence

3. “The Master Algorithm”

Written by Pedro Domingos.

The Master Alogrithm - Book On AI.webp
  • Pros: Explains algorithms, beginner-friendly
  • Cons: Overly optimistic
  • Pricing: Around $17
  • Features: Types of learning algorithms

Read online: The Master Alogirthm

4. “Deep Learning”

Written by Ian Goodfellow, Yoshua Bengio, and Aaron Courville.

Deep Learning - Book About AI
  • Pros: Technical, in-depth
  • Cons: Not for beginners
  • Pricing: Around $60
  • Features: Neural networks, academic focus

Read online: Deep Learning

5. “Artificial Intelligence: A Very Short Introduction”

Written by Margaret A. Boden.

Artificial Intelligecence - A very Short Introduction - Book About AI
  • Pros: Quick read, foundational
  • Cons: Basic
  • Pricing: Around $12
  • Features: AI history, ethical considerations

Read online: Artificial Intelligence: A Very Short Introduction

6. “Artificial Intelligence: Foundations of Computational Agents”

Written by David L. Poole and Alan K. Mackworth.

Foundations of Computational Agents - Book On AI
  • Pros: Scholarly, comprehensive
  • Cons: Academic language
  • Pricing: Around $80
  • Features: Problem-solving, logical reasoning

Read online: Artificial Intelligence: Foundations of Computational Agents

7. “Weapons of Math Destruction”

Written by Cathy O’Neil.

Weapons Of Math Destruction - Book About AI
  • Pros: Social implications, relatable
  • Cons: Less about technology
  • Pricing: Around $15
  • Features: Algorithmic bias, ethical issues

Read online: Weapons of Math Destruction

8. “Gödel, Escher, Bach”

Written by Douglas Hofstadter.

Gödel, Escher, Bach - Book On AI
  • Pros: Interdisciplinary, classic
  • Cons: Long, complex
  • Pricing: Around $20
  • Features: Cognitive science, formal systems

Read online: Gödel, Escher, Bach

9. “Artificial Unintelligence”

Written by Meredith Broussard.

Artificial Unintelligence- Book About AI
  • Pros: Critical view, journalistic
  • Cons: Less technical detail
  • Pricing: Around $18
  • Features: Limits of AI, societal impact

Read online: Artificial Unintelligence

10. “You Look Like a Thing and I Love You”

Written by Janelle Shane.

You Look Like a Thing and I Love You - AI Book
  • Pros: Humorous, engaging
  • Cons: Lighter content
  • Pricing: Around $17
  • Features: AI quirks, machine learning basics

Read online: You Look Like a Thing and I Love You


This is the end of our guides on the 10 best AI-related books.

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Ch David and Daniel

About the author

David, the head editor at, has four years of experience in Artificial Intelligence and Machine Learning. Join David and the team and explore AI tools and contributing to the creation and curation of AI educational content.