International Research Journal of Education and Technology

Recently, there has been a global proliferation of applicant information services and interview- assistance services harnessing big data and AI technology. These services strive to introduce interview systems that ensure efficiency and impartiality in the job market. Consequently, this research presents an AI-driven interview system developed using deep-learning technology. It drew upon over 100,000 evaluation datasets from a pool of 400,000 interview image datasets. The resultant AI interview system has been deployed across various enterprises, achieving a reliability score of 0.88 Pearson. This paper specifically examines the application of this system to five major public enterprises in Korea. The results indicate a high level of satisfaction, with 85% expressing contentment regarding fairness and efficiency in evaluation processes, job suitability, and organizational fit. As AI-based solutions continue to penetrate personnel management, their efficiency in time and cost, coupled with recognized reliability and fairness, suggest broader applicability. The proposed deep learning-based job interview solution in this study hints at broader implementation, encompassing written examinations, personality assessments, and aptitude tests.

Keywords :

Interview system powered by AI, AI-driven interview platform, Remote recruitment, AI- powered solution, Large-scale data analytics.