Why did I love this book?
As a coder and a lifelong SF reader, I am fascinated by AI. I've even written a LLM chat client named Shelley. Fascination, though, is not the same as uncritical fanboyism.
It is tempting to treat AI as a natural or magical apparition. Crawford's book turns this illusion on its head and explores AI literally from the ground up, beginning with its vast hunger for natural resources. She describes a similar hunger for training data as well as the implicit (or disguised) biases underlying the systems of classification that drive an AI's "understanding" of the world.
This is not a book about the future of AI so much as a particular map of the state of the project – a look into the wizard's booth. It offers an essential first step in considering what is to come and how we might negotiate it.
1 author picked Atlas of AI as one of their favorite books, and they share why you should read it.
The hidden costs of artificial intelligence-from natural resources and labor to privacy, equality, and freedom
"This study argues that [artificial intelligence] is neither artificial nor particularly intelligent. . . . A fascinating history of the data on which machine-learning systems are trained."-New Yorker
"A valuable corrective to much of the hype surrounding AI and a useful instruction manual for the future."-John Thornhill, Financial Times
"It's a masterpiece, and I haven't been able to stop thinking about it."-Karen Hao, senior editor, MIT Tech Review
What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our…