CONTENTS
1 Cover
6 Introduction The climate crisis is here to stay
7 1 Defining AI: Beyond the Hype The promises of artificial intelligence Global consultancies promise: Automating industry, boosting profits Maximizing profits through AI: From the United States to China, excluding the developing world Why techno-solutionism will not fix the world: AI as ‘mover’ of capital accumulation Falling in love with technological determinism The promise to stop the climate crisis: An AI for the environment Beyond the awe and hype, what exactly is artificial intelligence? Machine learning and deep learning Artificial intelligence as material technologies: Machines, cables, dust, devices Notes
8 2 Controlling AI: Understanding Data Capitalism Data capitalism and AI: The indissoluble marriage The most powerful AI companies in the United States And what about the most powerful AI companies in China? Who controls AI controls the debate Notes
9 3 Why AI Worsens the Climate Crisis Computational power and algorithms Energy and data centre carbon footprint Additional environmental costs of data centres Artificial intelligence, uberconsumerism and waste AI runs on devices: The carbon footprint of information and communication technologies Energy and waste disposal Pushing fossil fuel extractionism Notes
10 Conclusion: AI and the Climate Crisis What can we do? A final word Notes
11 References
12 Index
Guide
1 Cover
9 Conclusion: AI and the Climate Crisis
10 References
11 Index
List of Illustrations
1 Chapter 1Figure 1.1: Visual distinction between AI, machine learning and deep learning
2 Chapter 3Figure 3.1: Comparing carbon footprints: Carbon-intensive activities versus AI language mode…
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