AI interviews affect how job candidates act

A new study reveals that artificial intelligence (AI) evaluations of job candidates during first-round interviews have a significant impact on the behavior of applicants. Traditionally, job seekers relied on a firm handshake and personal presentation to create a positive first impression. However, with the rise of AI-powered applicant screening, many firms now utilize algorithms to evaluate candidates during asynchronous video interviews.

Researchers found that candidates often overcompensate for nervousness when they know they are being evaluated by an AI system. This has led to an increase in self-reported exaggerations or deceptive embellishments in their responses, as they attempt to present themselves in the best possible light. The AI grading systems, which are commonly used by corporations, are unable to differentiate between genuine qualifications and exaggerated claims.

Akshat Lakhiwal, the study's corresponding author and an assistant professor at the University of Georgia's Terry College of Business, observed that the use of AI in interviews affects candidates' behavior, making it challenging for them to gauge how to present themselves effectively. The study highlights the need for transparency in the hiring process, as understanding the evaluation criteria can help candidates behave more authentically.

In an experiment conducted by Lakhiwal's team, interviewees were informed about the AI evaluation process and the specific criteria it would be assessing. This disclosure led to a decrease in exaggerations and an increase in authentic behavior among candidates. In contrast, human evaluators were able to discern when candidates were stretching the truth, generally penalizing them and awarding higher ratings to those exhibiting more genuine behaviors.