THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE RECRUITMENT AND SELECTION PROCESS. CASE STUDY: TIMIȘOARA, BRAȘOV AND BUCUREȘTI
THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE RECRUITMENT AND SELECTION PROCESS. CASE STUDY: TIMIȘOARA, BRAȘOV AND BUCUREȘTI
Author(s): Viviana DOICHIAN, Marius Vasiluță-ȘtefănescuSubject(s): Business Economy / Management, Accounting - Business Administration, Human Resources in Economy, ICT Information and Communications Technologies, Socio-Economic Research
Published by: Ediktura Beladi
Keywords: Artificial Intelligence (AI); recruitment and selection process; human resource management; semi-structured interviews; advantages; disadvantages; job market; efficiency; biases; ethical complexities;
Summary/Abstract: Artificial intelligence has become a powerful tool of innovation that has significantly impacted various areas of business, including human resource management. This study aims to analyse how artificial intelligence has been adopted and contributes to improving the recruitment and selection process in companies in Timișoara, Brașov and București. We investigate how AI is reshaping the job market by altering demand for certain skills and creating new professional roles, and the implications of AI on personal data protection within the recruitment and selection domain. By employing semi-structured interviews with HR and AI professionals, the study captures nuanced insights into the practical implications of AI in the workforce. Results indicate that AI significantly streamlines the recruitment process, enhancing efficiency and potentially reducing biases. However, concerns regarding data privacy and the depersonalization of the hiring process have been noted. Conclusions suggest that while AI can revolutionize recruitment and selection, a balance must be struck between technological benefits and human-centric approaches to workforce management. The study advocates for ongoing dialogue between HR and AI fields to navigate the ethical and practical complexities of AI in recruitment.
Journal: Revista Universitară de Sociologie
- Issue Year: X/2024
- Issue No: 2
- Page Range: 138-147
- Page Count: 10
- Language: English