Sociotechnical imaginaries of social inequality in the design and use of AI recruitment technology

ABSTRACT Through interviewing 12 companies in Italy that either design (vendors) or use (clients) AI recruitment technology systems, we explore how these companies perceive their systems to interact with issues of social inequality and how these perceptions, in practice, carry societal impacts. Three sociotechnical imaginaries (Jasanoff and Kim, 2015) were consistently embedded within these companies’ visions of this intersection: the third eye, the river, and the car bonnet. Through critically analysing these imaginaries, we find that they exhibit an overriding desire for productivity and talent capture from clients, and a consequential de-prioritisation of addressing social inequality and scrutinising the ways it could be reproduced from both vendors and clients. It demonstrates that the current ‘desired’ futures, shown by the sociotechnical imaginaries that vendors and clients share for AI recruitment technologies (AI-rec-tech) are really leading us towards an ‘undesirable’ future of hiring that continues to perpetuate social inequality. This study contributes one of the first pieces of empirical work to simultaneously assess the perceptions of AI-rec-tech vendors’ and clients’ surrounding social inequality, to shed light on the priorities for design and the motivations for usage, and to reflect upon how these impact society. This is a significant and original contribution to the evolving body of literature on AI-rec-tech in sociology, critical data studies, and communications.

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Publication Details

Journal
European Societies
Published
2025-04-22
DOI
https://doi.org/10.1162/euso_a_00035
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37
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article

Sociotechnical imaginaries of social inequality in the design and use of AI recruitment technology

Laura Sartori, Clementine Collett
1 citations
European Societies
Ethics and Social Impacts of AI
2.37
article

Sociotechnical imaginaries of social inequality in the design and use of AI recruitment technology

Laura Sartori, Clementine Collett
article en
1 citations

Abstract

ABSTRACT Through interviewing 12 companies in Italy that either design (vendors) or use (clients) AI recruitment technology systems, we explore how these companies perceive their systems to interact with issues of social inequality and how these perceptions, in practice, carry societal impacts. Three sociotechnical imaginaries (Jasanoff and Kim, 2015) were consistently embedded within these companies’ visions of this intersection: the third eye, the river, and the car bonnet. Through critically analysing these imaginaries, we find that they exhibit an overriding desire for productivity and talent capture from clients, and a consequential de-prioritisation of addressing social inequality and scrutinising the ways it could be reproduced from both vendors and clients. It demonstrates that the current ‘desired’ futures, shown by the sociotechnical imaginaries that vendors and clients share for AI recruitment technologies (AI-rec-tech) are really leading us towards an ‘undesirable’ future of hiring that continues to perpetuate social inequality. This study contributes one of the first pieces of empirical work to simultaneously assess the perceptions of AI-rec-tech vendors’ and clients’ surrounding social inequality, to shed light on the priorities for design and the motivations for usage, and to reflect upon how these impact society. This is a significant and original contribution to the evolving body of literature on AI-rec-tech in sociology, critical data studies, and communications.

European SocietiesVol. 27(3)
University of Oxford (GB), University of Bologna (IT)
Openalex Percentile: Top 12%
Ethics and Social Impacts of AI
2.37
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