Umeå University's logo

umu.sePublications
EnglishSvenskaNorsk
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The Earth alignment principle for artificial intelligence
Nobel Prize Outreach, Stockholm, Sweden; Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, Netherlands; Exponential Roadmap Initiative, Stockholm, Sweden.
Microsoft Corporation, WA, Redmond, United States.
National Academy of Sciences, DC, Washington, United States.
National Academy of Sciences, DC, Washington, United States.
Show others and affiliations
2025 (English)In: Nature Sustainability, E-ISSN 2398-9629, article id 233Article in journal, Editorial material (Refereed) Epub ahead of print
Abstract [en]

At a time when the world must cut greenhouse gas emissions precipitously, artificial intelligence (AI) brings large opportunities and large risks. To address its uncertain environmental impact, we propose the ‘Earth alignment’ principle to guide AI development and deployment towards planetary stability.
Place, publisher, year, edition, pages
Springer Nature, 2025. article id 233
National Category
Environmental Sciences Artificial Intelligence
Identifiers
URN: urn:nbn:se:umu:diva-237584DOI: 10.1038/s41893-025-01536-6ISI: 001455801600001Scopus ID: 2-s2.0-105001875601OAI: oai:DiVA.org:umu-237584DiVA, id: diva2:1954324
Available from: 2025-04-24 Created: 2025-04-24 Last updated: 2025-04-24

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Dignum, Virginia

Search in DiVA

By author/editor
Dignum, Virginia
By organisation
Department of Computing Science
In the same journal
Nature Sustainability
Environmental SciencesArtificial Intelligence

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 56 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.46.0
|
WCAG
|
Umeå University Library
|
Register in DiVA
|
Support
|
Search DiVA Portal