Umeå University's logo

umu.sePublications
System disruptions
We are currently experiencing disruptions on the search portals due to high traffic. We are working to resolve the issue, you may temporarily encounter an error message.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-6th-edition.csl
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Tracing class and capitalism in critical AI research
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-8722-5661
Department of Technology, Policy and Management, Delft University of Technology, Delft, Netherlands.
Umeå University, Faculty of Social Sciences, Department of Sociology.ORCID iD: 0000-0001-6289-9427
2024 (English)In: tripleC: Communication, Capitalism & Critique, E-ISSN 1726-670X, Vol. 22, no 1, p. 307-328Article in journal (Refereed) Published
Abstract [en]

This article explores the rapidly developing field of Critical AI Studies and its relation to issues of class and capitalism through a hybrid approach based on distant reading of a newly collected corpus of 300 full-text scientific articles, the creation of which is itself a first attempt at properly delineating the field. We find that words related to issues of class are predominantly but not exclusively confined to a set of studies that make up their own distinct subfield of Critical AI Studies, in contrast to, e.g., issues of race and gender, which are more broadly present in the corpus.

Place, publisher, year, edition, pages
TripleC , 2024. Vol. 22, no 1, p. 307-328
Keywords [en]
artificial intelligence, critical studies, digital capitalism, machine learning, research
National Category
Computer Sciences Sociology (excluding Social Work, Social Psychology and Social Anthropology)
Identifiers
URN: urn:nbn:se:umu:diva-224963DOI: 10.31269/triplec.v22i1.1464Scopus ID: 2-s2.0-85193284017OAI: oai:DiVA.org:umu-224963DiVA, id: diva2:1862601
Available from: 2024-05-30 Created: 2024-05-30 Last updated: 2024-05-30Bibliographically approved

Open Access in DiVA

fulltext(4673 kB)199 downloads
File information
File name FULLTEXT01.pdfFile size 4673 kBChecksum SHA-512
6cc70aeaa1a6457197aed696d72d39d771f71b62231ad1472078eb14a1e501a2d656709a1132f6d2f9bfdec59c161d665f8baeb73277a1fc8d50e744867f52bd
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Ericson, PetterLindgren, Simon

Search in DiVA

By author/editor
Ericson, PetterLindgren, Simon
By organisation
Department of Computing ScienceDepartment of Sociology
In the same journal
tripleC: Communication, Capitalism & Critique
Computer SciencesSociology (excluding Social Work, Social Psychology and Social Anthropology)

Search outside of DiVA

GoogleGoogle Scholar
Total: 199 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 1113 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-6th-edition.csl
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf