
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?
通过作者的声音感受这本书
将知识转化为引人入胜、富含实例的见解
快速捕捉核心观点,高效学习
以有趣互动的方式享受这本书
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.
将《Atlas of AI》的核心观点拆解为易于理解的要点,了解创新团队如何创造、协作和成长。
将《Atlas of AI》提炼为快速记忆要点,突出坦诚、团队合作和创造力的关键原则。

通过生动的故事体验《Atlas of AI》,将创新经验转化为令人难忘且可应用的精彩时刻。
随心提问,选择声音,共同创造真正与你产生共鸣的见解。

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