IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/127371.html

Artificial Intelligence and the Sustainable Development Goals: AI Applications for Each SDG

Author

Listed:
  • Ozili, Peterson K

Abstract

The race to achieve the United Nations sustainable development goals has spurred much interest in the potential for artificial intelligence (AI) to accelerate progress towards the sustainable development goals. This study explores the role of artificial intelligence in achieving the 17 sustainable development goals. Several AI applications are identified for each of the 17 sustainable development goals. The study also explores how AI systems are helping to analyze large datasets, identify trends, make predictions, and develop insights related to SDG activities. The study also highlights the challenges associated with using AI to accelerate progress for the SDGs. While the benefits of AI for the SDGs are acknowledged in this study, the study calls for a cautious approach in using AI to achieve the SDGs.

Suggested Citation

  • Ozili, Peterson K, 2025. "Artificial Intelligence and the Sustainable Development Goals: AI Applications for Each SDG," MPRA Paper 127371, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:127371
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/127371/1/MPRA_paper_127371.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

    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:pra:mprapa:127371. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.