AI Evaluation in Selection

Abstract

Abstract. This study investigates how information provided prior to the application stage of the selection process affects application intentions toward the job and organization. Existing research has focused on applicants who have already entered into the selection process; however, information revealed prior to application may cause candidates to self-select themselves out of the process. Utilizing a randomized experimental design, participants read a job ad specifying that their prerecorded interviews would be reviewed by a human or an artificial intelligence-based evaluator. The results show increased intentions to apply and pursue the job in the human evaluation condition.