AI’s Sociological Era

Artificial Intelligence (AI) is a social structure cloaked in technical blackboxes and polarizing narratives. Sociology is the study of society from a structural perspective, delineating the interplays between individuals, organizations, institutions, and cultures. Sociology’s disciplinary lens is necessary to understand AI’s infrastructural force, reflecting and shaping politics, economies, knowledge, and interpersonal spheres. Yet to date, the field of AI research has been dominated by computer science and engineering, underutilizing the explanatory power of sociological theories and methods honed by the discipline over more than a century. Building on a collection of papers that illustrate AI as both a product and driver of social patterns and processes, we demonstrate that the diffusion of AI necessitates sociological analyses now more than ever, positioning sociology at the forefront of AI studies’ next era.

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Publication Details

Journal
Social Science Computer Review
Published
2025-11-07
DOI
https://doi.org/10.1177/08944393251394690
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

AI’s Sociological Era

Mona Sloane, Jenny L. Davis
Social Science Computer Review
Ethics and Social Impacts of AI
article

AI’s Sociological Era

Mona Sloane, Jenny L. Davis
article en

Abstract

Artificial Intelligence (AI) is a social structure cloaked in technical blackboxes and polarizing narratives. Sociology is the study of society from a structural perspective, delineating the interplays between individuals, organizations, institutions, and cultures. Sociology’s disciplinary lens is necessary to understand AI’s infrastructural force, reflecting and shaping politics, economies, knowledge, and interpersonal spheres. Yet to date, the field of AI research has been dominated by computer science and engineering, underutilizing the explanatory power of sociological theories and methods honed by the discipline over more than a century. Building on a collection of papers that illustrate AI as both a product and driver of social patterns and processes, we demonstrate that the diffusion of AI necessitates sociological analyses now more than ever, positioning sociology at the forefront of AI studies’ next era.

Social Science Computer ReviewVol. 44(1)
Australian National University (AU), University of the Virgin Islands (VI), Vanderbilt University (US)
Openalex Percentile: Top 67%
Ethics and Social Impacts of AI
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