DEVELOPMENT OF AN AI-BASED INTERVIEW SYSTEM FOR REMOTE HIRING

Recently applicant information services and interview-assistance services based on big data and AI technology are distributed rapidly worldwide to introduce an interview system that secures efficiency and fairness in the job interview market. Accordingly, this study presents an AI-based interview system developed based on deep-learning technology in which more than 100,000 evaluation data sets were derived from 400,000 interview image data sets. The resulting AI interview system has been applied to enterprises with a reliability of 0.88 Pearson score. Particularly, applying this system to 5 major public enterprises in Korea is presented in this paper. It turned out that the level of satisfaction with fairness and efficiency was as high as 85% in such aspects as evaluation processes, job fitness, and organization fitness. As the applicable range of AI-based solutions is expanding to the general area of personnel management with its time and cost efficiency, as well as reliability and fairness recognized, the deep learning-based job interview solution proposed by the present study needs to be applied widely to written examinations and personality and aptitude tests.