AI books

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Modern reading

The Sentient Machine

An accessible account of machine intelligence, its technical foundations and the choices that accompany its use.

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Artificial Intelligence: A Guide for Thinking Humans

A grounded tour of what AI systems can do, where they fail and why generalization remains difficult.

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Human Compatible

Examines how to build systems around uncertainty about human preferences rather than fixed objectives.

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Co-Intelligence

A practical view of working alongside generative systems, with attention to the changing boundaries of their capabilities.

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AI and society

The Cybernetic Society

Connects intelligent systems with institutions, economic life and the relationship between people and machines.

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Atlas of AI

Studies the material, labor and institutional infrastructure behind artificial intelligence.

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Weapons of Math Destruction

Shows how opaque scoring systems can magnify errors and inequality when deployed without accountability.

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The Alignment Problem

Follows the researchers studying values, bias, reward design and the behavior of learning systems.

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Textbooks

Artificial Intelligence: A Modern Approach

A broad technical reference for search, reasoning, learning, planning and intelligent agents.

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Deep Learning

Mathematical and algorithmic foundations of neural networks, optimization and representation learning.

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Reinforcement Learning: An Introduction

The standard introduction to value functions, policy optimization and learning from interaction.

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An Introduction to Statistical Learning

Statistical learning explained with worked examples; the Python edition adds a practical route through the material.

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Probabilistic Machine Learning: An Introduction

A probabilistic treatment of machine learning, accompanied by code and an author-provided electronic edition.

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Pattern Recognition and Machine Learning

A mathematically detailed account of probabilistic modeling and statistical pattern recognition.

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AI and war

Army of None

A study of autonomous weapons, military judgment and the responsibilities involved in delegating decisions.

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The Last War

Examines how AI, emerging technologies and multi-domain operations could shape a future India–China conflict.

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Hyperwar

Considers the implications of faster, interconnected autonomous systems for conflict and strategic competition.

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AI and medicine

Deep Medicine

Explores how machine learning might change clinical work while making room for more human attention.

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The AI Revolution in Medicine

An early clinical exploration of large language models, their potential uses and their failure modes.

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AI and media

The Creativity Code

Examines algorithmic creativity through mathematics, art, music and the question of what makes an idea new.

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The Artist in the Machine

Accounts of computer-generated art, music and literature that connect technical systems with creative practice.

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AI engineering

AI Engineering

A systems-oriented guide to building applications with foundation models, evaluation and reliable operation.

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Designing Machine Learning Systems

Covers the decisions around data, deployment, monitoring and the operation of production machine learning.

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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

A practical progression from classical machine learning to neural networks, with companion notebooks.

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Build a Large Language Model (From Scratch)

Builds the components of a language model step by step, connecting architecture, training and fine-tuning.

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Natural Language Processing with Transformers

A practical introduction to transformer models, datasets, training workflows and model deployment.

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Classics

Cybernetics

The foundational account of control, feedback and communication across machines and biological systems.

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The Society of Mind

Develops a view of intelligence as the interaction of many specialized processes rather than one general mechanism.

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Perceptrons

A mathematical analysis of the capabilities and limitations of early perceptron models.

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Computer Power and Human Reason

Reflects on the limits of computation and the decisions people should retain responsibility for.

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