Limits of Data Society
Bhabani Shankar Nayak and
Nigel Walton
Additional contact information
Bhabani Shankar Nayak: London Metropolitan University
Nigel Walton: University of Portsmouth
Chapter 7 in Political Economy of Artificial Intelligence, 2024, pp 145-160 from Springer
Abstract:
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”.
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-62308-0_7
Ordering information: This item can be ordered from
http://www.springer.com/9783031623080
DOI: 10.1007/978-3-031-62308-0_7
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().