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Management article
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Reference no. SMR65227
Published by: MIT Sloan School of Management
Published in: "MIT Sloan Management Review", 2024
Length: 6 pages

Abstract

Artificial intelligence models require large quantities of specialized hardware, data, and energy to be trained and run, all of which produce carbon emissions and e-waste. These large hidden environmental costs require solutions that can harness AI's potential while mitigating its climate impact. This article outlines steps that AI leaders can take to make the technology more sustainable.

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Abstract

Artificial intelligence models require large quantities of specialized hardware, data, and energy to be trained and run, all of which produce carbon emissions and e-waste. These large hidden environmental costs require solutions that can harness AI's potential while mitigating its climate impact. This article outlines steps that AI leaders can take to make the technology more sustainable.

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