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06.08.2020 12:00:00

Is the carbon footprint of AI too big?

It’s no surprise that AI has a carbon footprint, which refers to the amount of greenhouse gases (carbon dioxide and methane, primarily) that producing and consuming AI releases into the atmosphere. In fact, training AI models requires so much computing power, some researchers have argued that the environmental costs outweigh the benefits. However, I believe they’ve not only underestimated the benefits of AI, but also overlooked the many ways that model training is becoming more efficient. Greenhouse gases are what economists refer to as an “externality” — a cost borne inadvertently by society at large, such as through the adverse impact of global warming, but inflicted on us all by private participants who have little incentive to refrain from the offending activity. Typically, public utilities emit these gases when they burn fossil fuels in order to generate electricity that powers the data centers, server farms, and other computing platforms upon which AI runs.To read this article in full, please click here
Weiter zum vollständigen Artikel bei "The Standard HK"