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    Atlas of AI by Kate Crawford Summary

    Atlas of AI
    Kate Crawford
    3.95 (2570 Reviews)
    AIPoliticsTechnology
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    Overview of Atlas of AI

    Kate Crawford's "Atlas of AI" exposes the hidden planetary costs of artificial intelligence. Called "a masterpiece" by MIT Technology Review editors, this Wall Street Journal top-five AI book reveals how our digital future fuels inequality and environmental devastation. What price are we really paying for AI?

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    “

    AI is neither artificial nor intelligent.

    ”
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    "Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

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    "Reading used to feel like a chore. Now it’s just part of my lifestyle."

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    "Feels effortless compared to reading. I’ve finished 6 books this month already."

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    名人书单
    Elon MuskCharlie KirkBill GatesSteve JobsAndrew HubermanJoe RoganJordan Peterson
    获奖作品
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    ManagementAmerican HistoryWarTradingStoicismAnxietySex
    年度最佳书籍
    2025 Best Non Fiction Books2024 Best Non Fiction Books2023 Best Non Fiction Books
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    核心要点

    1

    The Hidden Material Reality Behind AI's Digital Facade

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    When you picture artificial intelligence, you likely imagine sleek robots or voice assistants responding to your commands. But beneath this glossy veneer lies a far more complex reality. AI isn't simply code floating in the digital ether-it's a massive industrial system built on extraction, exploitation, and classification that shapes our world in profound ways. The truth is that AI is neither artificial nor intelligent. It's deeply material, requiring vast amounts of natural resources and human labor to function. From lithium mines in Nevada to rare earth processing facilities in Inner Mongolia, AI's physical foundation spans the globe. Despite the ethereal "cloud" metaphors, AI infrastructure is profoundly material and environmentally damaging. A single natural language processing model can produce carbon emissions equivalent to five cars' lifetime output, while data centers already match aviation's carbon footprint. What makes this reality so insidious is how deliberately it's hidden from view. Tech companies project an image of sustainability while concealing enormous energy consumption. They claim carbon neutrality through offset credits while simultaneously licensing AI technology to fossil fuel companies. The scale and complexity of this material infrastructure is obscured by intellectual property laws and technical complexity-creating a modern "megamachine" that, like the Manhattan Project, operates through secrecy and coordination.

    2

    The Invisible Workforce Behind "Automated" Systems

    3

    The Extractive Logic of Data Collection

    4

    The Politics of Classification and Categorization

    5

    The Myth of Reading Emotions from Faces

    6

    The Military Origins of AI and Its Surveillance Legacy

    7

    Challenging AI's Power Structures and Enchanted Determinism