4 Billion Years On

Artificial Intelligence Books

Recommended Reading

The most important books on artificial intelligence – from the science of machine learning to the societal implications of superintelligence. Curated for anyone who wants to understand AI deeply.

Recommended Books

Co-Intelligence by Ethan Mollick

Co-Intelligence

Ethan Mollick · 2024

4.5on Amazon

Wharton professor Ethan Mollick draws on his research and hands-on experience to offer a practical guide to living and working with AI. He explores how large language models are already transforming education, creativity, and business.

Nexus by Yuval Noah Harari

Nexus

Yuval Noah Harari · 2024

4.4on Amazon

The bestselling historian examines how information networks – from ancient myths to modern AI – have shaped civilisation. Harari warns that artificial intelligence represents a fundamentally new kind of information agent that could reshape society.

The Coming Wave by Mustafa Suleyman

The Coming Wave

Mustafa Suleyman · 2023

4.4on Amazon

DeepMind co-founder Mustafa Suleyman warns that AI and synthetic biology represent a wave of technology that will be impossible to contain. He outlines the dilemma of unstoppable technology and the urgent need for containment strategies.

AI 2041 by Kai-Fu Lee & Chen Qiufan

AI 2041

Kai-Fu Lee & Chen Qiufan · 2021

4.4on Amazon

A unique blend of science fiction and expert analysis. Former Google China president Kai-Fu Lee teams with sci-fi writer Chen Qiufan to imagine ten visions of how AI will transform the world over the next twenty years.

Atlas of AI by Kate Crawford

Atlas of AI

Kate Crawford · 2021

4.4on Amazon

Kate Crawford reveals AI as a technology of extraction – from the minerals mined to build hardware to the labour exploited to train models. A powerful investigation into the environmental and social costs of artificial intelligence.

Genius Makers by Cade Metz

Genius Makers

Cade Metz · 2021

4.5on Amazon

New York Times reporter Cade Metz tells the story of the brilliant, eccentric researchers behind the deep learning revolution. From Geoffrey Hinton to Demis Hassabis, this is the definitive account of how modern AI was built.

The Alignment Problem by Brian Christian

The Alignment Problem

Brian Christian · 2020

4.5on Amazon

A masterful exploration of the fundamental challenge in AI: how do we ensure machine learning systems do what we actually want? Christian weaves together computer science, philosophy, and psychology in this essential read on AI safety.

Human Compatible by Stuart Russell

Human Compatible

Stuart Russell · 2019

4.4on Amazon

Leading AI researcher Stuart Russell argues that the standard model of AI – optimising a fixed objective – is fundamentally flawed. He proposes a new framework for creating beneficial AI that defers to human preferences.

Life 3.0 by Max Tegmark

Life 3.0

Max Tegmark · 2017

4.5on Amazon

MIT physicist Max Tegmark explores what it means to be human in the age of artificial intelligence. From near-term job automation to far-future superintelligence, he examines the choices we must make to ensure AI benefits humanity.

Superintelligence by Nick Bostrom

Superintelligence

Nick Bostrom · 2014

4.2on Amazon

The book that sparked global conversation about existential risk from AI. Oxford philosopher Nick Bostrom lays out the scenarios in which superhuman machine intelligence could emerge and the existential challenge of controlling it.

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