IDEAS home Printed from https://ideas.repec.org/a/nat/natsus/v8y2025i5d10.1038_s41893-025-01536-6.html
   My bibliography  Save this article

The Earth alignment principle for artificial intelligence

Author

Listed:
  • Owen Gaffney

    (Nobel Prize Outreach
    Utrecht University
    Exponential Roadmap Initiative)

  • Amy Luers

    (Microsoft Corporation)

  • Franklin Carrero-Martinez

    (National Academy of Sciences)

  • Berna Oztekin-Gunaydin

    (National Academy of Sciences)

  • Felix Creutzig

    (Potsdam Institute for Climate Impact Research (PIK)
    University of Sussex
    Technical University Berlin)

  • Virginia Dignum

    (Umeå University)

  • Victor Galaz

    (Stockholm University
    Royal Swedish Academy of Sciences)

  • Naoko Ishii

    (University of Tokyo)

  • Francesca Larosa

    (KTH Royal Institute of Technology)

  • Maria Leptin

    (European Research Council)

  • Ken Takahashi Guevara

    (Instituto Geofísico del Perú)

Abstract

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.

Suggested Citation

  • Owen Gaffney & Amy Luers & Franklin Carrero-Martinez & Berna Oztekin-Gunaydin & Felix Creutzig & Virginia Dignum & Victor Galaz & Naoko Ishii & Francesca Larosa & Maria Leptin & Ken Takahashi Guevara, 2025. "The Earth alignment principle for artificial intelligence," Nature Sustainability, Nature, vol. 8(5), pages 467-469, May.
    • Handle: RePEc:nat:natsus:v:8:y:2025:i:5:d:10.1038_s41893-025-01536-6
    DOI: 10.1038/s41893-025-01536-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41893-025-01536-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/s41893-025-01536-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natsus:v:8:y:2025:i:5:d:10.1038_s41893-025-01536-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.