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Toward a Sociology of Artificial Intelligence: A Call for Research on Inequalities and Structural Change
Journal article   Open access   Peer reviewed

Toward a Sociology of Artificial Intelligence: A Call for Research on Inequalities and Structural Change

Kelly Joyce, Laurel Smith-Doerr, Sharla Alegria, Susan Bell, Taylor Cruz, Steve G. Hoffman, Safiya Umoja Noble, Benjamin Shestakofsky and Sidra Bell
Socius : sociological research for a dynamic world, v 7, p237802312199958
Jan 2021
url
https://doi.org/10.1177/2378023121999581View
Published, Version of Record (VoR)CC BY-NC V4.0 Open

Abstract

This article outlines a research agenda for a sociology of artificial intelligence (AI). The authors review two areas in which sociological theories and methods have made significant contributions to the study of inequalities and AI: (1) the politics of algorithms, data, and code and (2) the social shaping of AI in practice. The authors contrast sociological approaches that emphasize intersectional inequalities and social structure with other disciplines’ approaches to the social dimensions of AI, which often have a thin understanding of the social and emphasize individual-level interventions. This scoping article invites sociologists to use the discipline’s theoretical and methodological tools to analyze when and how inequalities are made more durable by AI systems. Sociologists have an ability to identify how inequalities are embedded in all aspects of society and to point toward avenues for structural social change. Therefore, sociologists should play a leading role in the imagining and shaping of AI futures.

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135 citations in Scopus

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Domestic collaboration
International collaboration
Web of Science research areas
Sociology
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