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Generative AI’s environmental costs are soaring — and mostly secret

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Crawford, Kate·2024·Nature

DOI 10.1038/d41586-024-00478-x

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Aligning artificial intelligence with climate change mitigation
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Authors: Crawford, K.
Affiliations: University of Southern California (US)
Corresponding author: Crawford, Kate
ORCID: Crawford, Kate
Venue: Nature
Publisher: Springer Science and Business Media LLC
Published: 2024-02-20
Volume: 626
Issue: 8000
Pages: 693-693
ISSN: 0028-0836 (ISSN-L)
1476-4687
DOI: 10.1038/d41586-024-00478-x
OpenAlex: W4391965576
Cited by: 175
References: 2
Citations by year: 2026: 56 · 2025: 83 · 2024: 36
FWCI: 18.10
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Nature (publishedVersion)
PubMed (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Topics: Physical Sciences › Engineering › Electrical and Electronic Engineering › Green IT and Sustainability
Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Photovoltaic Systems and Sustainability
Keywords: generative AI, environmental costs, CO2 emissions, energy consumption, environmental regulation, United States legislation

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Generative AI’s environmental costs are soaring — and mostly secret

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