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arXiv:2303.06219cs.CY

The Carbon Emissions of Writing and Illustrating Are Lower for AI than for Humans

Bill Tomlinson, Rebecca W. Black, Donald J. Patterson, Andrew W. Torrance

Abstract

As AI systems proliferate, their greenhouse gas emissions are an increasingly important concern for human societies. We analyze the emissions of several AI systems (ChatGPT, BLOOM, DALL-E2, Midjourney) relative to those of humans completing the same tasks. We find that an AI writing a page of text emits 130 to 1500 times less CO2e than a human doing so. Similarly, an AI creating an image emits 310 to 2900 times less. Emissions analysis do not account for social impacts such as professional displacement, legality, and rebound effects. In addition, AI is not a substitute for all human tasks. Nevertheless, at present, the use of AI holds the potential to carry out several major activities at much lower emission levels than can humans.

arXiv comments
21 pages, 2 figures
Journal reference
DOI
Subjects
cs.CYComputers and Society cs.AIArtificial Intelligence

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Linked by 2 identifiable commenters in 2 comments across 2 threads, from Mar 2023 to Jan 2025. Found in 2 HN submissions from Mar 2023 to Sep 2023. Open submission discussions.

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    • (2023) Or at least the arXiv copy is: https://arxiv.org/abs/2303.06219 / https://news.ycombinator.com/item?id=35148437

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