by Pedro Domingos
Domingos argues that five tribes of machine learning are converging toward one master algorithm capable of learning anything. Understanding these rival approaches reveals how AI actually works.
In this collection, The Master Algorithm is cited by 3 other books.
It’s picked up by Life 3.0, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy and The Ethical Algorithm: The Science of Socially Aware Algorithm Design.
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The exact passages where other authors bring up “The Master Algorithm” and what they take from it.
Tegmark references Domingos's Master Algorithm.
Critiques the techno-optimism in Domingos's The Master Algorithm vision of a universal learning machine, arguing that without ethical guardrails, more powerful algorithms simply produce more powerful instruments of discrimination
Cited in
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracyby Cathy O'Neil
Kearns and Roth engage critically with Domingos's The Master Algorithm vision of universal machine learning, arguing that the pursuit of predictive accuracy without fairness constraints produces socially harmful outcomes that technical solutions can address
Cited in
The Ethical Algorithm: The Science of Socially Aware Algorithm Designby Michael Kearns and Aaron Roth
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