Aktuálne číslo: 2/2025
Archív
LEGAL, ECONOMIC AND ETHICAL LIMITS AND CHALLENGES OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCE MANAGEMENT
The rapid development of artificial intelligence (AI) is fundamentally transforming human resource management processes, creating new opportunities while also introducing complex legal, economic, and ethical challenges. This article focuses on analysing the limits and possibilities of AI implementation in various areas of human resource management from the employer's perspective, with particular emphasis on the protection of employees' rights as the weaker party in employment relationships. Special attention is devoted to the pre-contractual phase of employment, especially the recruitment process, where the deployment of AI tools raises critical issues related to compliance with the principle of equal treatment and the prohibition of discrimination. The article further examines the processing of personal data in the context of automated decision-making and explores the key questions employers must address to properly design internal policies and procedures. Finally, it offers a technological perspective, highlighting the dynamic development of AI capabilities and their potential impact on the legal, ethical, and organisational frameworks of human resource management. The aim of the article is to contribute to the academic discourse on the legally compliant and sustainable use of AI in the employment context.
Vydanie: 2025/2 Strany: 91-98 Klasifikácia JEL: K2, M5,O33
DOI: https://doi.org/10.52665/ser20250209
Kľúčové slová: artificial intelligence (AI), human resource management, labour law, personal data protection, discrimination and equal treatment
Sekcia: Special section - Scientific articles from the international scientific conference "ECOSYSTEMS OF THE FUTURE: Startups, Smart Cities and Human Resources at the Core of the Digital Economy"
Kontakty:
JUDr. Petra Bobíková
Asseco Central Europe, a.s..
Galvaniho 19045/19 821 04 Bratislava, m. č. Ružinov, Slovensko
e-mail: petra.bobikova@asseco-ce.com
Mgr. Patrik Břečka, PhD.
Asseco Central Europe, a.s..
Galvaniho 19045/19 821 04 Bratislava, m. č. Ružinov, Slovensko
e-mail: patrik.brecka@asseco-ce.com
doc. Ing. František Babič, PhD.
Fakulta elektrotechniky a informatiky, Technická univerzita v Košiciach
Letná 1/9, 042 00 Košice-Sever, Slovensko
email: frantisek.babic@tuke.sk
Literatúra:
Aguinis, H., Beltran, J.R., & Cope, A. (2024). How to use generative AI as a human resource management assistant. Organisational Dynamics, 51(3), 101029.
Arora, M., Prakash, A., Mittal, A., & Singh, S. (2021). HR Analytics and Artificial Intelligence – Transforming Human Resource Management. In 2021 International Conference on Decision Aid Sciences and Application (DASA), Sakheer, Bahrain, pp. 288–293.
Drage, E., & Mackereth, K. (2022). Does AI Debias Recruitment? Race, Gender, and AI’s “Eradication of Difference”. Philosophy & Technology, 35(89). 1-25.
Du, J. (2024). Ethical and legal challenges of AI in human resource management. Journal of Computing and Electronic Information Management, 13(2), 71–77. https://doi.org/10.54097/83j64ub9
Gupta, N., Joshi, M., Agarwal, A.K., & Tiwari, M.K. (2024). Human-artificial intelligence collaboration in HR: Applications and challenges. In 2024 International Conference on Computational Intelligence and Computing Applications (ICCICA), pp. 30–34.
Hunkenschroer, A.L., & Luetge, C. (2022). Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda. Journal of Business Ethics, 178, 977–1007.
Kolaříková, L., & Horák, F. (2020). Artificial Intelligence & Law (1st ed., p. 107). Prague: Wolters Kluwer ČR.
Kotlyar, I., Sharifi, T., & Fiksenbaum, L. (2023). Assessing teamwork skills: Can a computer algorithm match human experts? International Journal of Artificial Intelligence in Education, 33, 955–991.
Li, Y. (2022). Ethical disputes of AI surveillance: Case study of Amazon. In Proceedings of the 2022 International Conference on Ethics, Management, and Sustainable Development (EMSD 2022), pp. 187–192. Atlantis Press. https://doi.org/10.2991/978-94-6463-004-7_31
Madanchian, M., Taherdoost, H., & Mohamed, N. (2023). AI-based human resource management tools and techniques: A systematic literature review. Procedia Computer Science, 229, 367–377.
Nejad, Z.Z., Sabokro, M., & Oikarinen, E.L. (2025). Challenges in adopting and using online recruitment tools from employers’ perspective. International Journal of Organisational Analysis, 33(5), 1203–1218.
Ore, O., & Sposato, M. (2022). Opportunities and risks of artificial intelligence in recruitment and selection. International Journal of Organisational Analysis, 30(6), 1771–1782.
Park, H., Ahn, D., Hosanagar, K., & Lee, L. (2021). Human-AI interaction in human resource management: Understanding why employees resist algorithmic evaluation at workplaces and how to mitigate burdens. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI '21), pp. 1–15. Association for Computing Machinery, New York, NY, USA.
Salmelin, B. (2025). Intellectual capital and the era of raising AI. In A. Kianto, S. Čabrilo, & L. Užienė (Eds.), Futurizing Intellectual Capital. Knowledge Management and Organisational Learning, 15, 187–200.
Sharma, S., & Sengupta, S. (2024). AI-driven HR practices: Recent trends in digital HR tools and their perceived benefits. In Z. Illés, C. Verma, P.J.S. Gonçalves, & P.K. Singh (Eds.), Proceedings of International Conference on Recent Innovations in Computing (ICRIC 2023). Lecture Notes in Electrical Engineering, vol 1195, 219-231.
Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15–42.
Valentová, T., Horecký, J., & Švec, M. (2020). GDPR in labour law practice: How to comply with the General Data Protection Regulation (p. 97). Wolters Kluwer.
Varma, A., Dawkins, C.E., & Chaudhuri, K. (2023). Artificial intelligence and people management: A critical assessment through the ethical lens. Human Resource Management Review, 33(1), 100923. 1-11.
Yam, J., & Skorburg, J.A. (2021). From human resources to human rights: Impact assessments for hiring algorithms. Ethics and Information Technology, 23, 611–623.
Zuiderveen Borgesius, F. (2018). Discrimination, artificial intelligence, and algorithmic decision-making. Strasbourg: Council of Europe, Directorate General of Democracy, Antidiscrimination Department. Available at: https://rm.coe.int/discrimination-artificialintelligence-and-algorithmic-decision-making/1680925d73
Informative report on discrimination and gender equality in labour relations (2024). Available at: https://www.ip.gov.sk/wp-content/uploads/2025/03/Suhrnna-sprava-za-rok2024.pdf