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AI Researchers Need to Stop Hiding the Climate Toll of Their Work

computer system, fluorescent colors

More researchers are sounding the alarm about the growing costs of deep learning. In 2018, OpenAI published a study showing that the computational resources required to train large models was doubling every three to four months. In June, another study found that developing large-scale natural-language processing models, in particular, could produce a shocking carbon footprint.

The trend is driven by the research community's emphasis on advancing the state of the art — with little regard to costs. At this rate, one expert predicts, AI could account for as much as one-tenth of the world's electricity use by 2025.

In "Green AI," researchers at the Seattle-based Allen Institute for Artificial Intelligence have proposed a new way to mitigate this trend.

From Technology Review
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