Tracing the Carbon Footprint of Generative AI: A Delicate Balance Between Progress and Sustainability

This study highlights the need for a balanced approach to advancing Generative AI, where technological progress need not to come at the expense of the environment. By quantifying the carbon footprint and identifying mitigation strategies, we can work towards developing more sustainable AI technologies.

Publication Details

Journal
PUBLISSO (German National Library of Medicine)
Published
2024-10-11
DOI
https://doi.org/10.4126/frl01-006488519
Primary Topic
Genetics, Aging, and Longevity in Model Organisms
Type
article
Field-Weighted Citation Impact
0.00
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article

Tracing the Carbon Footprint of Generative AI: A Delicate Balance Between Progress and Sustainability

PUBLISSO (German National Library of Medicine)
Genetics, Aging, and Longevity in Model Organisms
article

Tracing the Carbon Footprint of Generative AI: A Delicate Balance Between Progress and Sustainability

article en

Abstract

This study highlights the need for a balanced approach to advancing Generative AI, where technological progress need not to come at the expense of the environment. By quantifying the carbon footprint and identifying mitigation strategies, we can work towards developing more sustainable AI technologies.

PUBLISSO (German National Library of Medicine)
Openalex Percentile: Top 69%
Genetics, Aging, and Longevity in Model Organisms
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Tracing the Carbon Footprint of Generative AI: A Delicate Balance Between Progress and Sustainability · PUBLISSO (German National Library of Medicine) (2024) | TGRS Research Map | TGRS