IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-62308-0_7.html
   My bibliography  Save this book chapter

Limits of Data Society

In: Political Economy of Artificial Intelligence

Author

Listed:
  • Bhabani Shankar Nayak

    (London Metropolitan University)

  • Nigel Walton

    (University of Portsmouth)

Abstract

The world is currently undergoing an unparalleled technological transformation that is reshaping the dynamics of how individuals, families and societies operate within a digital environment. The swift progression of data-driven technology has seamlessly woven itself into the fabric of all social and human activities through the prevalence of “big data”. This widespread utilisation of “big data” extends beyond a mere transformation of knowledge traditions; it has effectively metamorphosed society into a “data-driven society”, where “data” emerges as the new currency governing social communication, decision-making, innovation and social interactions. This chapter delves into the evolution, impacts and constraints of the “data society”, shedding light on its transformative journey. Furthermore, it underscores the significance of the knowledge traditions intricately linked with the “data society”. Through a comprehensive exploration, this chapter provides insights into the complex dimensions of this contemporary phenomenon, navigating through the intricate interplay between technology, societal structures and limits of “data society”.

Suggested Citation

  • Bhabani Shankar Nayak & Nigel Walton, 2024. "Limits of Data Society," Springer Books, in: Political Economy of Artificial Intelligence, chapter 7, pages 145-160, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-62308-0_7
    DOI: 10.1007/978-3-031-62308-0_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-3-031-62308-0_7. 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.springer.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.