Tracing Class and Capitalism in Critical AI Research

Journal Article (2024)
Author(s)

Petter Ericson (Umeå University)

Roel Dobbe (TU Delft - Information and Communication Technology)

Simon Lindgren (Umeå University)

Research Group
Information and Communication Technology
DOI related publication
https://doi.org/10.31269/triplec.v22i1.1464 Final published version
More Info
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Publication Year
2024
Language
English
Research Group
Information and Communication Technology
Journal title
TripleC
Issue number
1
Volume number
22
Pages (from-to)
307-328
Downloads counter
252
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Abstract

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.