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  A strong sustainability approach to AI development [Correspondence]

O’Neill, D. W., Creutzig, F. (2026): A strong sustainability approach to AI development [Correspondence]. - Nature Machine Intelligence, 8, 642-644.
https://doi.org/10.1038/s42256-026-01240-w

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_35113 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_35113_1
Genre: Journal Article

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s42256-026-01240-w.pdf (Publisher version), 802KB
 
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 Creators:
O’Neill, Daniel W.1, Author
Creutzig, Felix2, Author                 
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

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Language(s): eng - English
 Dates: 2026-05-152026-05-15
 Publication Status: Finally published
 Pages: 3
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s42256-026-01240-w
MDB-ID: No data to archive
Organisational keyword: RD5 - Climate Economics and Policy - MCC Berlin
PIKDOMAIN: RD5 - Climate Economics and Policy - MCC Berlin
Working Group: Cities: Data Science and Sustainable Planning
Research topic keyword: Sustainable Development
Research topic keyword: Planetary Boundaries
Research topic keyword: Inequality and Equity
Research topic keyword: Global Commons
Regional keyword: Global
 Degree: -

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Title: Nature Machine Intelligence
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 8 Sequence Number: - Start / End Page: 642 - 644 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/nature-machine-intelligence
Publisher: Nature