BUSINESS INFORM JOURNAL.

УКР

ENG

Search:

REGISTRATION CERTIFICATE

KV #19905-9705 PR dated 02.04.2013.

FOUNDERS

RESEARCH CENTER FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS of Ukraine (KHARKIV, UKRAINE)

ROR

EDRPOU 05481984

According to the decision No. 802 of the National Council of Television and Radio Broadcasting of Ukraine dated 14.03.2024, is registered as a subject in the field of print media.
ID R30-03156

PUBLISHER

Liburkina L. M.

CATALOG

Risks of Using Artificial Intelligence Technology for Efficient Staff Management
Kuchynskyi V. A., Vozniuk I. O.

Kuchynskyi, Volodymyr A., and Vozniuk, Iegor O. (2026) “Risks of Using Artificial Intelligence Technology for Efficient Staff Management.” Business Inform 6:462–472.
https://doi.org/10.32983/2222-4459-2026-6-462-472

Section: Management and Marketing

Article is written in Ukrainian
Downloads/views: 0

Download article (pdf) -

UDC 330.3; 331.1

Abstract:
The article examines the risks associated with the use of artificial intelligence in the processes of digitalized staff management under the conditions of the digital transformation of modern companies. The economic essence of the risk concept in the context of intelligent algorithms application in the HR domain is revealed as the probability of deviations of managerial decision outcomes from expected parameters under the influence of uncertainty factors. The specific features of risk formation in artificial intelligence systems are identified, due to the nonlinearity of models, the opacity of their functioning and their dependence on the quality of training data. A classification of the risks associated with the use of artificial intelligence according to the groups (ethical and legal, social and strategic, technical) was carried out, also their interrelationship and systemic impact on the efficiency of HR processes functioning were analyzed. Particular attention is devoted to practical examples of the manifestation of algorithmic bias, violations of confidentiality and privacy, opacity of decision-making processes, technological unemployment, and dehumanization within the processes of contemporary digitalized staff management. The technical risks associated with the functioning of artificial intelligence models were examined, in particular hallucinations, model collapse, and model degradation arising during the processes of their training and operation. The necessity of a comprehensive approach to risk management throughout the entire life cycle of an AI system, from the development stage to post-deployment monitoring, was substantiated. A system of measures aimed at minimizing risks was proposed, including the use of explainable, trustworthy, and collaborative artificial intelligence as complementary approaches to ensuring the transparency, security, and efficiency of digital HR systems. An authorial interpretation of minimizing the risks associated with the implementation of artificial intelligence in digitalized staff management was formulated, ensuring a balance between the technological efficiency of the leading digital technology and the preservation of the key role of humans in the HR processes of modern companies.

Keywords: artificial intelligence; staff management; digitalization; economic efficiency; HR process automation; AI risks; AI risk minimization.

Fig.: 2. Tabl.: 1. Bibl.: 15.

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

Al Biss Kh., Mehta V. & Raman Sh. (2024, October 18). AI: Enabling HR While Managing Risks. WTW. https://www.wtwco.com/en-us/insights/2024/10/ai-enabling-hr-while-managing-risk
Gross S. (2025, February 28). Legal Requirements for AI in Human Resources. Simpliant. https://simpliant.eu/insights/legal-requirements-for-ai-in-human-resources
Hirebee. (2024, May 6). AI Risks: A Guide for HR Professionals. https://hirebee.ai/blog/ai-risks-a-guide-for-hr-professionals
Illiashenko S.M. (2004). Ekonomichnyi ryzyk: navch. posib. 2-he vyd., dop. i pererob. [Economic risk: educational manual. 2nd ed., add. and revised]. Kyiv: Tsentr navchalnoi literatury.
Kalser L. (2025, March 24). AI hiring software was biased against deaf employees, ACLU alleges in ADA case. HR Dive. https://www.hrdive.com/news/ai-intuit-hirevue-deaf-indigenous-employee-discrimination-aclu/743273/
Kohut Yu.I. (2024). Shtuchnyi intelekt i bezpeka: praktychnyi posibnyk [Artificial intelligence and security: a practical guide]. Kyiv: Konsaltynhova kompaniia «SIDKON»; VD «Dakor».
Kuchynskyi V.A. & Vozniuk Ye.O. (2025). Funktsionalna arkhitektonika shtuchnoho intelektu v konteksti didzhytalizovanoho upravlinnia personalom [Functional architectonics of artificial intelligence in the context of digitalized personnel management]. Biznes Inform, 9, 367–375. https://doi.org/10.32983/2222-4459-2025-9-367-375
Nawrat A. (2021, April 15). HR tech gone wrong? Uber told to reinstate drivers after «robo-firing». Unleash. https://www.unleash.ai/hr-technology/court-rules-against-uber-robo-firing-employee-surveillance/
Rassel S. (2020). Sumisnyi z liudynoiu. Shtuchnyi intelekt i problema kontroliu [Human compatible. Artificial intelligence and the problem of control]. Kyiv: Book Chef.
TMI. (2025, August 14). Ethical AI in HR: Challenges, Risks, and Best Practices. https://www.tmi.org/blogs/ethical-ai-in-hr-challenges-risks-and-best-practices
Van der Merwe M. & Veldsman D. (2026). AI Risk Manager for HR: 3 Key Risks To Manage & HR Actions To Take. https://www.aihr.com/leading-hr/ai-risk-management/
Vitlinskyi V.V. & Verchenko P.I. (2000). Analiz, modeliuvannia ta upravlinnia ekonomichnym ryzykom: navch.-metod. posibnyk [Analysis, modeling and management of economic risk: educational and methodological manual]. Kyiv: KNEU.
Vozniuk Ye.O. (2025). Osoblyvosti vprovadzhennia didzhytalizovanoho upravlinnia personalom dlia formuvannia efektyvnoi HR-systemy [Features of implementing digitalized personnel management to form an effective HR system]. Enerhozberezhennia. Enerhetyka. Enerhoaudyt, 4, 22–38. https://doi.org/10.20998/2313-8890.2025.04.02
Wiessner D. (2023, August 10). Tutoring firm settles US agency`s first bias lawsuit involving AI software. Reuters. https://www.reuters.com/legal/tutoring-firm-settles-us-agencys-first-bias-lawsuit-involving-ai-software-2023-08-10/#:~:text=The%20EEOC%20had%20alleged%20that,who%20were%2060%20or%20older
World Employment Confederation. (2025, March 17). WEC Releases Toolkit to Help HR Companies Navigate AI Regulation. World Employment Confederation. https://wecglobal.org/news-post/wec-releases-toolkit-to-help-hr-companies-navigate-ai-regulation/