Journal article icon

Journal article

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.

Publication status:
Published
Peer review status:
Peer reviewed

Actions

Access Document

Publisher copy:
10.1162/euso_a_00035

Authors

More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
ORCID:
0000-0002-2806-1273


Publisher:
Massachusetts Institute of Technology Press
Journal:
European Societies More from this journal
Volume:
27
Issue:
3
Pages:
409-432
Publication date:
2025-07-24
Acceptance date:
2025-03-17
DOI:
EISSN:
1469-8307
ISSN:
1461-6696


Language:
English
Keywords:
Pubs id:
2279681
Local pid:
pubs:2279681
Deposit date:
2025-08-11
ARK identifier:

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP