
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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Verwandle Wissen in fesselnde, beispielreiche Erkenntnisse
Erfasse Schlüsselideen blitzschnell für effektives Lernen
Genieße das Buch auf unterhaltsame und ansprechende Weise
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.
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