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    Atlas of AI by Kate Crawford Summary

    Atlas of AI
    Kate Crawford
    3.95 (2570 Reviews)
    AIPoliticsTechnology
    Überblick
    Wichtige Erkenntnisse
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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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    Vertiefung42Min

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    Genieße das Buch auf unterhaltsame und ansprechende Weise

    Bestes Zitat aus Atlas of AI

    “

    AI is neither artificial nor intelligent.

    ”
    Entdecke Deine Art zu Lernen
    Atlas of AI ist nicht nur ein Buch — es ist eine Meisterklasse in AI. Um Ihnen zu helfen, die Lektionen auf die für Sie beste Weise aufzunehmen, bieten wir fünf einzigartige Lernmodi an. Ob Sie ein Tiefdenker, ein schneller Lerner oder ein Geschichtenliebhaber sind, es gibt einen Modus, der zu Ihrem Stil passt.

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    "I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

    @Chloe, Solo founder, LA
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    117

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

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    "Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

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

    @Erin, Investment Banking Associate , NYC
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    "Feels effortless compared to reading. I’ve finished 6 books this month already."

    @djmikemoore
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    "BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

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    "The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

    @Leo, Law Student, UPenn
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    1.5K Ratings4.7
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    DiscordLinkedIn
    Empfohlene Buchzusammenfassungen
    Crucial ConversationsThe Perfect MarriageInto the WildNever Split the DifferenceAttachedGood to GreatSay Nothing
    Trendkategorien
    Self HelpCommunication SkillRelationshipMindfulnessPhilosophyInspirationProductivity
    Leselisten von Prominenten
    Elon MuskCharlie KirkBill GatesSteve JobsAndrew HubermanJoe RoganJordan Peterson
    Preisgekrönte Sammlung
    Pulitzer PrizeNational Book AwardGoodreads Choice AwardsNobel Prize in LiteratureNew York TimesCaldecott MedalNebula Award
    Empfohlene Themen
    ManagementAmerican HistoryWarTradingStoicismAnxietySex
    Beste Bücher nach Jahr
    2025 Best Non Fiction Books2024 Best Non Fiction Books2023 Best Non Fiction Books
    Lernwerkzeuge
    Knowledge VisualizerAI Podcast Generator
    Empfohlene Autoren
    Chimamanda Ngozi AdichieGeorge OrwellO. J. SimpsonBarbara O'NeillWinston ChurchillCharlie Kirk
    BeFreed vs. andere Apps
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    Wichtigste Erkenntnisse

    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