Tracing Class and Capitalism in Critical AI Research

Petter Ericson, Roel Dobbe, Simon Lindgren

Research output: Contribution to journalArticleScientificpeer-review

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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.

Original languageEnglish
Pages (from-to)307-328
Number of pages22
JournalTripleC
Volume22
Issue number1
DOIs
Publication statusPublished - 2024

Keywords

  • artificial intelligence
  • critical studies
  • digital capitalism
  • machine learning
  • research

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