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    Atlas of AI by Kate Crawford Summary

    Atlas of AI
    Kate Crawford
    3.95 (2570 Reviews)
    AIPoliticsTechnology
    개요
    핵심 요점
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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?

    Similar books to Atlas of AI

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    빠른 요약9분

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    심층 분석42분

    지식을 흥미롭고 예시가 풍부한 인사이트로 전환

    플래시 카드10개의 인사이트

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    「Atlas of AI」베스트 인용구

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    AI is neither artificial nor intelligent.

    ”
    나만의 학습 방법 탐색하기
    Atlas of AI은 단순한 책이 아닙니다 — AI의 마스터클래스입니다. 당신에게 가장 잘 맞는 방식으로 교훈을 흡수할 수 있도록 5가지 고유한 학습 모드를 제공합니다. 깊이 생각하는 사람이든, 빠른 학습자이든, 이야기를 좋아하는 사람이든, 당신의 스타일에 맞는 모드가 있습니다.

    빠른 요약 모드 - Atlas of AI 요약을 9분 만에 읽거나 듣기

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    Atlas of AI 요약 - 9분

    Atlas of AI의 핵심 아이디어를 이해하기 쉬운 포인트로 분해하여 혁신적인 팀이 어떻게 창조하고, 협력하고, 성장하는지 이해합니다.

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    플래시 카드 모드 - Atlas of AI에서 엄선한 10가지 핵심 인사이트

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    Atlas of AI에서 엄선한 10가지 핵심 인사이트

    Atlas of AI을 빠른 기억 단서로 압축하여 솔직함, 팀워크, 창의적 회복력의 핵심 원칙을 강조합니다.

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    재미있게 모드 - Atlas of AI의 교훈을 23분 스토리로

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    Atlas of AI의 교훈을 23분 스토리로

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    "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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    @Cashflowbubu
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    DiscordLinkedIn
    추천 도서 요약
    Crucial ConversationsThe Perfect MarriageInto the WildNever Split the DifferenceAttachedGood to GreatSay Nothing
    인기 카테고리
    Self HelpCommunication SkillRelationshipMindfulnessPhilosophyInspirationProductivity
    유명인 추천 도서
    Elon MuskCharlie KirkBill GatesSteve JobsAndrew HubermanJoe RoganJordan Peterson
    수상작 컬렉션
    Pulitzer PrizeNational Book AwardGoodreads Choice AwardsNobel Prize in LiteratureNew York TimesCaldecott MedalNebula Award
    추천 주제
    ManagementAmerican HistoryWarTradingStoicismAnxietySex
    연도별 베스트 도서
    2025 Best Non Fiction Books2024 Best Non Fiction Books2023 Best Non Fiction Books
    학습 도구
    Knowledge VisualizerAI Podcast Generator
    추천 저자
    Chimamanda Ngozi AdichieGeorge OrwellO. J. SimpsonBarbara O'NeillWinston ChurchillCharlie Kirk
    BeFreed vs 다른 앱
    BeFreed vs. Other Book Summary AppsBeFreed vs. ElevenReaderBeFreed vs. ReadwiseBeFreed vs. Anki
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    핵심 내용

    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