Innovations in modern recruitment and recruitment methods: application of artificial intelligence and big data in HR

Abstract

The article discusses modern innovations in recruitment methods using artificial intelligence (AI) technologies and big data analysis. The introduction highlights the importance of effective recruitment to increase the competitiveness of organizations and the need to use advanced technologies in the context of digital transformation. The purpose of the study is to analyze the advantages and challenges associated with the introduction of AI and big data in hiring processes. The research methodology is based on the analysis of existing theoretical and empirical data on the use of AI and big data in HR. A review of literature sources covering the implementation of these technologies at various stages of recruiting, including recruitment, selection and evaluation of candidates, is conducted. The paper also uses examples of the use of AI in automation systems for resume analysis and professional skills assessment based on the collected data. The results of the study show that the use of AI and big data in HR contributes to improving the accuracy of candidate selection, reducing information processing time and reducing the human factor in decision-making. The authors note that such technologies allow for a greater number of parameters to be taken into account when analyzing candidates, which, in turn, increases the likelihood of finding the ideal candidate. The discussion addresses potential risks and limitations, including ethics issues, violation of personal privacy, and risks of discrimination when using algorithms. In conclusion, it is concluded that, despite the existing challenges, the integration of AI and big data into HR processes has significant potential to improve hiring practices and human resource management.