Title:
The Influence of AI Interview Explainability on Job Seekers' Perceived Fairness

Authors:
Linyan Zhang, Jintong Wei, China

Abstract:

Artificial intelligence (AI) has been applied to human resource selection and interviews. As a new recruitment and selection method, AI interview improves efficiency and flexibility, saves human resources and effectively avoids human subjective bias. However, various limitations of AI computing system cause individuals to have a lower sense of fairness towards AI decisions. In order to explore how to improve people's sense of fairness in AI interview, this paper introduces AI interview technology, analyzes the theory of job seekers' sense of fairness, and directly measures the Explainability of procedural interaction and decision basis perceived by job seekers in the interview process, so as to find out the factors that affect job seekers' sense of fairness in AI interview, and come up with strategic suggestions for improving the fairness of AI interview. It provides some enlightenment for organizations to make better use of AI for recruitment and selection.

DOI: http://dx.doi.org/10.51505/ijaemr.2025.1008