IDEAS home Printed from https://ideas.repec.org/a/tpr/glenvp/v24y2024i2p9-18.html
   My bibliography  Save this article

Generative AI and Social Media May Exacerbate the Climate Crisis

Author

Listed:
  • Hamish van der Ven
  • Diego Corry
  • Rawie Elnur
  • Viola Jasmine Provost
  • Muh Syukron

Abstract

The contributions of generative artificial intelligence (AI) and social media to the climate crisis are often underestimated. To date, much of the focus has been on direct emissions associated with the life cycle of tech products. In this forum article, we argue that this narrow focus misses the adverse and indirect impacts of generative AI and social media on the climate. We outline some of the indirect ways in which generative AI and social media undermine the optimism, focus, creativity, and veracity required to address the climate crisis. Our aim is twofold. First, we seek to balance the tide of optimism about the role of digitalization in addressing the climate crisis by offering a skeptic’s perspective. Second, we outline a new research agenda that moves beyond counting directly attributable carbon emissions and proposes a more comprehensive accounting of the indirect ways in which social media and generative AI adversely impact the sociopolitical conditions required to address the climate crisis.

Suggested Citation

  • Hamish van der Ven & Diego Corry & Rawie Elnur & Viola Jasmine Provost & Muh Syukron, 2024. "Generative AI and Social Media May Exacerbate the Climate Crisis," Global Environmental Politics, MIT Press, vol. 24(2), pages 9-18, Spring.
  • Handle: RePEc:tpr:glenvp:v:24:y:2024:i:2:p:9-18
    DOI: 10.1162/glep_a_00747
    as

    Download full text from publisher

    File URL: https://doi.org/10.1162/glep_a_00747
    Download Restriction: Access to PDF is restricted to subscribers.

    File URL: https://libkey.io/10.1162/glep_a_00747?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.

    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:tpr:glenvp:v:24:y:2024:i:2:p:9-18. 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: The MIT Press (email available below). General contact details of provider: https://direct.mit.edu/journals .

    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.