Algorithmic Hiring in Practice: Recruiter and HR Professional's Perspectives on AI Use in Hiring

Abstract

The use of AI-enabled hiring software raises questions about the practice of Human Resource (HR) professionals' use of the software and its consequences. We interviewed 15 recruiters and HR professionals about their experiences around two decision-making processes during hiring: sourcing and assessment. For both, AI-enabled software allowed the efficient processing of candidate data, thus providing the ability to introduce or advance candidates from broader and more diverse pools. For sourcing, it can serve as a useful learning resource to find candidates. Though, a lack of trust in data accuracy and an inadequate level of control over algorithmic candidate matches can create reluctance to embrace it. For assessment, its implementation varied across companies depending on the industry and the hiring scenario. Its inclusion may redefine HR professionals' job content as it automates or augments pieces of the existing hiring process. Finally, we discuss how candidate roles that recruiters and HR professionals support drive the use of algorithmic hiring software.