This article discusses the development of artificial intelligence methods for analyzing the match between employee competencies and personality traits and labor market requirements. The authors point out that machine learning algorithms enable the processing of large datasets from CVs, professional profiles, and job advertisements, enabling more precise skill mapping. Particular attention is paid to analyzing the fit between personality and organizational culture using psychometric tools supported by predictive algorithms. The review of research shows that AI systems can increase the accuracy of candidate selection and reduce recruitment time and costs. At the same time, the authors emphasize the risk of replicating biases present in training data and the problem of transparency in decision-making models. The article also discusses ethical and legal issues related to personal data protection and the need to ensure transparency in recruitment processes. The review indicates that properly designed AI systems can support more objective and effective matching of employees to the labor market, provided that rigorous methodological and ethical standards are applied.
Mikołajewski et al. (Thu,) studied this question.