社会技术系统
社会学
不平等
社会不平等
知识管理
计算机科学
数学
数学分析
作者
Laura Sartori,Clementine Collett
摘要
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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