CYAIApr 29

Resume-ing Control: (Mis)Perceptions of Agency Around GenAI Use in Recruiting Workflows

arXiv:2604.2685167.6
Predicted impact top 18% in CY · last 90 daysOriginality Synthesis-oriented
AI Analysis

For recruiting professionals and organizations using AI in hiring, this paper highlights a critical conflict between perceived and actual agency, with implications for responsible AI deployment.

This paper explores how generative AI subtly reduces recruiter agency and control in hiring workflows, despite recruiters believing they retain final authority. The study found that genAI becomes an 'invisible architect' shaping decisions, with only marginal efficiency gains at the cost of deskilling and loss of meaningful oversight.

When generative AI (genAI) systems are used in high-stakes decision-making, its recommended role is to aid, rather than replace, human decision-making. However, there is little empirical exploration of how professionals making high-stakes decisions, such as those related to employment, perceive their agency and level of control when working with genAI systems. Through interviews with 22 recruiting professionals, we investigate how genAI subtly influences control over everyday workflows and even individual hiring decisions. Our findings highlight a pressing conflict: while recruiters believe they have final authority across the recruiting pipeline, genAI has become an invisible architect that shapes the foundational building blocks of information used for evaluation, from defining a job to determining good interview performances. The decision of whether or not to adopt was also often outside recruiters' control, with many feeling compelled to adopt genAI due to calls to integrate AI from higher-ups in their business, to combat applicant use of AI, and the individual need to boost productivity. Despite a seemingly seismic shift in how recruiting happens, participants only reported marginal efficiency gains. Such gains came at the high cost of recruiter deskilling, a trend that jeopardizes the meaningful oversight of decision-making. We conclude by discussing the implications of such findings for responsible and perceptible genAI use in hiring contexts.

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