Book description
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…
Why read it?
2 authors picked Atlas of AI as one of their favorite books. Why do they recommend it?
I loved this book because it completely reframed how I think about AI’s physical and environmental footprint.
While reading, I realized how often discussions about artificial intelligence ignore the material world behind the screens. Crawford’s perspective pushed me to think beyond software and consider labor, extraction, energy, and global inequality. It challenged my own assumptions as a technology scholar and reminded me that every algorithm is embedded in real-world systems.
This book expanded my understanding of AI from a technical issue into a planetary one, which I found both unsettling and essential.
From Muhammad's list on understanding how artificial intelligence is changing culture, society, and human interaction.
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…
From Matt's list on non-fiction that turn their topics upside down.
If you love Atlas of AI...
Want books like Atlas of AI?
Our community of 12,000+ authors has personally recommended 100 books like Atlas of AI.