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Data Centers and Artificial Intelligence in En-ROADS

Articles/Websites

Grades9, 10, 11, 12, APEarth and Space Sciences, Economics

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Provided by Climate Interactive
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What it is

  • This article explains how energy demand and greenhouse gas emissions from data centers and artificial intelligence are modeled in the En-ROADS Climate Solutions Simulator.

  • The article covers the factors that drive data center emissions, the feedback loops that shape data center growth, and how productivity gains from artificial intelligence could amplify a carbon-intensive economy.

  • A summary video is also provided.

Teaching tips

Classroom Implementation:

  • Use this as a source for researching the benefits and drawbacks of artificial intelligence.

  • Use this resource in environmental science units on energy and emissions, economics units on externalities and incentives, or computer science discussions about the environmental costs of technology.

  • Have students use this resource to inform their work with the En-ROADS simulator. Encourage them to experiment with the simulator's assumptions settings associated with data centers and artificial intelligence.

Differentiation:

  • The later sections of the article on feedback loops and model assumptions are more technical and may be best suited for advanced or AP students.

Extensions:

  • Ask students to research whether data centers have been built or proposed in their region and discuss the local equity considerations raised in the article.

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