IDEAS home Printed from https://ideas.repec.org/a/taf/titdxx/v29y2023i2-3p171-183.html
   My bibliography  Save this article

Cycles of development in systems of survival with artificial intelligence: a formative research agenda

Author

Listed:
  • Sajda Qureshi

Abstract

Artificial intelligence (AI) may take over many functions performed by humans while offering new opportunities for socio-economic development. However, the unchecked ubiquitous adoption of generative Machine Learning (ML)that appears to assist humans while increasing job losses, inequities and threats to social institutions. Systems of survival are explored in the light of the synergies between governments who aim to protect their citizens and corporations who trade with them. Understanding how these processes affect human agency, particularly that of refugee populations whose data is harvested from their cellphones while they seek to build new lives in foreign lands. Their resilience, ingenuity and contributions to the global economy may hold the key to supporting positive cycles of development. A formative agenda is offered that enables researchers to support positive cycles of development that account for the systems of survival needed for equitable artificial intelligence implementations.

Suggested Citation

  • Sajda Qureshi, 2023. "Cycles of development in systems of survival with artificial intelligence: a formative research agenda," Information Technology for Development, Taylor & Francis Journals, vol. 29(2-3), pages 171-183, July.
  • Handle: RePEc:taf:titdxx:v:29:y:2023:i:2-3:p:171-183
    DOI: 10.1080/02681102.2023.2236424
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02681102.2023.2236424
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/02681102.2023.2236424?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:taf:titdxx:v:29:y:2023:i:2-3:p:171-183. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/titd20 .

    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.