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On the sui generis value capture of new digital technologies: the case of AI
File(s)
PIIS2666389922001234.pdf (1.04 MB)
Published version
Author(s)
Kazim, Emre
Fenoglio, Enzo
Hilliard, Airlie
Koshiyama, Adriano
Mulligan, Catherine
Type
Journal Article
Abstract
Digital technologies are emerging at a fast rate, with applications ranging from farming to recruitment. Much of the research on these technologies has concerned optimization and applications, with less focus on the regulation and governance of these systems and how they might bring about foundational and theoretical shifts. Indeed, much of the literature is concerned with forwarding technical approaches, and the potential opportunities and harms, without offering theoretical or philosophical perspectives; few have asked what a digital thing is, what the ontological nature and state of phenomena produced and expressed by digital things are, and if there are distinctions between the conceptions of digital and non-digital technologies. We forward this discussion by investigating the question of what value is being expressed by an algorithm, which we conceptualize in terms of a digital asset, which we define as a valued digital thing that is derived from a particular digital technology.
Date Issued
2022-07-08
Date Acceptance
2023-07-01
Citation
Patterns, 2022, 3 (7)
URI
URL
DOI
ISSN
2666-3899
Publisher
Elsevier
Journal / Book Title
Patterns
Volume
3
Issue
7
Copyright Statement
© 2022 The Author(s).
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
License URL
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000844230600005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Subjects
Computer Science
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science, Interdisciplinary Applications
OBJECTS
ONTOLOGY
Science & Technology
Technology
Publication Status
Published
Article Number
100526
Date Publish Online
2023-07-08