Prioritize environmental sustainability in use of AI and data science methods

Caroline Jay; Yurong  Yu; Ian Crawford; Scott Archer-Nicholls; Philip James; Ann Gledson; Gavin Shaddick; Robert Haines; Loïc  Lannelongue; Emily  Lines; Scott  Hosking; David Topping

doi:10.1038/s41561-023-01369-y

Prioritize environmental sustainability in use of AI and data science methods

Caroline Jay, Yurong Yu, Ian Crawford, Scott Archer-Nicholls, Philip James, Ann Gledson, Gavin Shaddick, Robert Haines, Loïc Lannelongue, Emily Lines, Scott Hosking, David Topping

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Abstract

Artificial Intelligence (AI) and data science will play a crucial role in improving environmental sustainability, but the energy requirements of these methods will have an increasingly negative effect on the environment without sustainable design and use.

Original language	English
Pages (from-to)	106-108
Number of pages	3
Journal	Nature Geoscience
Volume	17
Issue number	2
DOIs	https://doi.org/10.1038/s41561-023-01369-y
Publication status	Published - 26 Jan 2024

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10.1038/s41561-023-01369-y

NGS_edited_finalAccepted author manuscript, 27.9 KBLicence: CC BY

The UK Software Sustainability Institute: Phase 3
Jay, C. (PI), Goble, C. (CoI) & Sufi, S. A. (Researcher)
1/12/18 → 31/05/24
Project: Research

Cite this

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title = "Prioritize environmental sustainability in use of AI and data science methods",

abstract = "Artificial Intelligence (AI) and data science will play a crucial role in improving environmental sustainability, but the energy requirements of these methods will have an increasingly negative effect on the environment without sustainable design and use.",

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AU - Shaddick, Gavin

AU - Haines, Robert

AU - Lannelongue, Loïc

AU - Lines, Emily

AU - Hosking, Scott

AU - Topping, David

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Prioritize environmental sustainability in use of AI and data science methods

Abstract

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Projects

The UK Software Sustainability Institute: Phase 3

Cite this