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Liburkina L. M.

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Functional Architectonics of Artificial Intelligence in the Context of Digitalized Human Resource Management
Kuchynskyi V. A., Vozniuk I. O.

Kuchynskyi, Volodymyr A., and Vozniuk, Iegor O. (2025) “Functional Architectonics of Artificial Intelligence in the Context of Digitalized Human Resource Management.” Business Inform 9:367–375.
https://doi.org/10.32983/2222-4459-2025-9-367-375

Section: Management and Marketing

Article is written in Ukrainian
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UDC 330.3; 331.1

Abstract:
The article develops a conception for the structure of artificial intelligence in digitalized human resource management, based on a historical and evolutionary analysis of the development of intelligent systems, from the earliest ideas of machine thinking to modern generative models. The stages of the evolutionary dynamics of artificial intelligence, which combine periods of growth and decline resulting from discrepancies between the expectations of the scientific community and technological capabilities, are described. It is demonstrated that each new stage of development contributed to the formation of models and directions capable of integrating with other digital tools and expanding the scope of their practical application. The theoretical and methodological foundations for the use of artificial intelligence in the field of digitalized human resource management, as a key business process of a modern enterprise, are developed. The rationale for implementing a hybrid (neuro-symbolic) approach to model training, which combines machine learning with symbolic knowledge and rule-based systems, has been substantiated. This approach allows for greater transparency and control over algorithmic decisions, reduces the risks of bias, and ensures the efficiency of intelligent algorithms. Based on this, practical functional areas of artificial intelligence corresponding to the multifaceted nature of HR processes have been identified. The study also presents arguments for integrating fundamental and applied functional areas into a unified artificial intelligence framework in human resource management, addressing the challenges of digital transformation. The proposed framework features a flexible architecture that facilitates scalable HR process automation, personalized personnel decisions, and enhanced productivity. Practical results from leading global companies confirm the efficiency of applying AI in digitalized human resource management, and the developed conception can serve as a basis for creating scalable digital ecosystems in the HR field.

Keywords: digitalization, digitalized human resource management, artificial intelligence, automation, optimization, HR processes, digital technologies, AI framework in HR.

Fig.: 2. Tabl.: 1. Bibl.: 12.

Kuchynskyi Volodymyr A. – Doctor of Sciences (Economics), Associate Professor, Head of the Department, Department of Business Economics and International Economic Relations, National Technical University «Kharkiv Polytechnic Institute» (2 Kyrpychova Str., Kharkіv, 61002, Ukraine)
Email: [email protected]
Vozniuk Iegor O. – Postgraduate Student, Department of Business Economics and International Economic Relations, National Technical University «Kharkiv Polytechnic Institute» (2 Kyrpychova Str., Kharkіv, 61002, Ukraine)
Email: [email protected]

List of references in article

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