Books like The Master Algorithm

01

The Second Machine Age

Erik Brynjolfsson and Andrew McAfee · Economics

The Second Machine Age is Erik Brynjolfsson and Andrew McAfee's argument that digital technology has entered a qualitatively new phase — one in which machines can perform cognitive tasks previously reserved for humans, creating economic disruption and opportunity simultaneously.

Shares artificial intelligence and technology with The Master Algorithm.

02

Human Compatible: Artificial Intelligence and the Problem of Control

Stuart Russell · Science

Human Compatible is Stuart Russell's argument, from inside mainstream AI research, that the standard model of AI — build a system that optimizes for a fixed objective — is the wrong approach, and that the transition to much more capable AI systems requires a fundamental change in how AI is designed.

Shares machine learning and artificial intelligence with The Master Algorithm.

03

Weapons of Math Destruction

Cathy O'Neil · Science

Weapons of Math Destruction is mathematician and data scientist Cathy O'Neil's investigation of how algorithms — statistical models used to make decisions about people's lives — can perpetuate and amplify inequality rather than reduce it.

Shares algorithms and data science with The Master Algorithm.

04

Superintelligence: Paths, Dangers, Strategies

Nick Bostrom · Science

Superintelligence is Oxford philosopher Nick Bostrom's systematic analysis of what might happen if artificial intelligence systems become more capable than humans — and why that transition might represent one of the most significant risks in human history.

Shares machine learning and artificial intelligence with The Master Algorithm.

05

Algorithms to Live By: The Computer Science of Human Decisions

Brian Christian and Tom Griffiths · Psychology

Brian Christian is a writer and Tom Griffiths is a cognitive scientist, and together they argue that computer science has worked out rigorous solutions to many of the problems humans face every day — when to stop searching for a better option, how to manage your schedule, how to sort your memory — and that these solutions are both interesting and useful.

Both dig into algorithms.

06

Deep Learning

Ian Goodfellow, Yoshua Bengio, and Aaron Courville · Science

Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville is the standard graduate-level textbook on the mathematical and computational foundations of deep neural networks.

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07

The Alignment Problem

Brian Christian · Science

Brian Christian's The Alignment Problem examines a fundamental challenge in machine learning: how do you ensure that an artificial system actually pursues the goals you intend, rather than a close but dangerous approximation?

Shares machine learning and artificial intelligence with The Master Algorithm.

08

Atlas of AI

Kate Crawford · Science

Atlas of AI is Kate Crawford's account of what artificial intelligence actually is — not a disembodied intelligence but a physical system built from extracted minerals, underpaid labor, vast energy consumption, and accumulated data taken largely without meaningful consent.

Both dig into artificial intelligence.

09

Code: The Hidden Language of Computer Hardware and Software

Charles Petzold · Science

Code is Charles Petzold's explanation of how computers work, built from first principles.

Both dig into technology.

10

Gödel, Escher, Bach

Douglas Hofstadter · Science

Douglas Hofstadter's Pulitzer Prize-winning debut, published in 1979, asks how meaning can arise from formal rules — how a biological machine can think, feel, and experience self-awareness.

Both dig into artificial intelligence.

11

How to Create a Mind

Ray Kurzweil · Science

Ray Kurzweil's central claim in How to Create a Mind is that the neocortex — the part of the brain responsible for higher thought — operates on a single repeating algorithm called the pattern recognition theory of mind.

Both dig into artificial intelligence.

12

Life 3.0: Being Human in the Age of Artificial Intelligence

Max Tegmark · Science

Life 3.0 is Max Tegmark's accessible survey of the questions raised by the prospect of human-level and superhuman artificial intelligence: What are the plausible paths to AGI?

Both dig into artificial intelligence.