Dialogues Towards Sociologies of Generative AI

This article presents a sociological dialogue between six researchers who specialise in different sociological subfields. Each researcher explores the possible consequences of generative AI within their specific area of expertise. More concretely, the article develops insights around directions in social theory, the political economy of intellectual property, matters of identities and intimacies, evidence and evidentiary power, racial and reproductive inequalities, as well as work and social class. This is followed by a collective discussion on six interconnected themes across these areas: agency, authorship, identity, visibility, inequality, and hype. We also consider our role as cultural producers, understanding our reactions to generative AI as part of the empirical, theoretical, and methodological shifts this knowledge controversy engenders, as well as highlighting our duty as critical sociologists to keep the knowledge controversy about generative AI open.

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Publication Details

Journal
Social Science Computer Review
Published
2025-10-16
DOI
https://doi.org/10.1177/08944393251370354
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37
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article

Dialogues Towards Sociologies of Generative AI

Robert Dorschel, Shannon Philip, Meredith Hall, Ella McPherson et al.
1 citations
Social Science Computer Review
Ethics and Social Impacts of AI
2.37
article

Dialogues Towards Sociologies of Generative AI

Robert Dorschel, Shannon Philip, Meredith Hall, Ella McPherson, Isabelle Higgins, Patrick Baert
article en
1 citations

Abstract

This article presents a sociological dialogue between six researchers who specialise in different sociological subfields. Each researcher explores the possible consequences of generative AI within their specific area of expertise. More concretely, the article develops insights around directions in social theory, the political economy of intellectual property, matters of identities and intimacies, evidence and evidentiary power, racial and reproductive inequalities, as well as work and social class. This is followed by a collective discussion on six interconnected themes across these areas: agency, authorship, identity, visibility, inequality, and hype. We also consider our role as cultural producers, understanding our reactions to generative AI as part of the empirical, theoretical, and methodological shifts this knowledge controversy engenders, as well as highlighting our duty as critical sociologists to keep the knowledge controversy about generative AI open.

Social Science Computer ReviewVol. 44(1)
University of Cambridge (GB)
Openalex Percentile: Top 9%
Ethics and Social Impacts of AI
2.37
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