AI TECHNOLOGIES IN THE APPLICATION OF PSYCHOLOGICAL METHODS IN THE SELECTION OF ACCOUNTING PERSONNEL
Abstract
The article considers the application of innovative artificial intelligence technologies in the process of professional selection of accounting personnel. It is found that the effectiveness of the organization's activities depends on the personal and professional suitability of employees for the activity and position, and the implementation of AI allows making the selection process more accurate, fast and objective. A staged selection model is presented that integrates classical HR practices with the capabilities of modern AI algorithms. The roles of the professionogram and psychogram in building candidate profiles are determined. Special attention is paid to the ethical aspects of using AI according to EU standards.
A professioniogram is a structured characteristic of a profession that reflects the totality of working conditions, functional responsibilities, necessary knowledge, skills and the specifics of the organizational and technological environment; it is a kind of "profession map" with an exhaustive list of requirements for an employee, taking into account the intellectual, physical and organizational aspects of work. A profession psychogram is an addition to the professioniogram, containing a description of the psychological qualities necessary for the successful performance of professional tasks. Analysis of current sources shows that there is still no single, generally recognized and validated methodology for personnel selection using AI. However, given the rapid development of digital technologies, it can be assumed that the integration of psychological assessment into digital models of personnel selection will soon receive new impetus. In particular, psychograms will be rethought and adapted to the new realities of electronic recruitment, which opens up prospects for further research in the direction of forming structured, scientifically sound and ethically responsible methods of personnel selection using AI.
The obtained results may be useful for optimizing HR processes and developing scientifically grounded personnel management strategies.
References
DOI: https://doi.org/10.1016/j.bushor.2019.12.001
2. Chamorro-Premuzic, T., & Ahmetoglu, G. (2021). The promises and perils of using AI in hiring. Harvard Business Review. https://hbr.org/2021/ the-promises-and-perils-of-using-AI-in-hiring
3. Chamorro-Premuzic, T., Wade, M., & Jordan, J. (2018). AI, automation, and the future of work. Harvard Business Review. https://hbr.org/2018/06/ai-automation-and-the-future-of-work
4. European Commission. (2021). Proposal for a Regulation laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52021PC0206
5. European Parliament and Council of the European Union. (2016). Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data (General Data Protection Regulation). Official Journal of the European Union, L119. 1-88. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32016R0679
6. Humeniuk, O.V. (2022). Innovatsiini pidkhody do otsiniuvannia personalu v umovakh tsyfrovoi transformatsii. Ekonomika ta upravlinnia pidpryiemstvamy, 3. 108-112. [in Ukrainian]
7. Kolomiiets, O.M., & Borodina, T.V. (2021). Shtuchnyi intelekt u sferi pidboru personalu: mozhlyvosti ta ryzyky. Visnyk sotsialno-ekonomichnykh doslidzhen, 2(75). 142-148. [in Ukrainian]
8. Reilly, P., & Williams, T. (2016). Strategic HR: Building the capability to deliver. Gower Publishing, Ltd.
9. Schmidt, F.L., & Hunter, J.E. (1998). The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings. Psychological Bulletin, 124(2). 262-274.
DOI: https://doi.org/10.1037/0033-2909.124.2.262
10. Upadhyay, A.K., & Khandelwal, K. (2018). Applying artificial intelligence: Implications for recruitment. Strategic HR Review, 17(5). 255-258.
DOI: https://doi.org/10.1108/SHR-06-2018-0051
