Vpliv umetne inteligence na zaposlovanje

magistrsko delo

Aleš Korošec (Author), Vesna Novak (Mentor), Alenka Brezavšček (Co-mentor)

Abstract

Umetna inteligenca (UI) je ena ključnih tehnologij četrte industrijske revolucije, ki že povzroča pomembne spremembe v družbi in na trgu dela. Magistrska naloga obravnava vpliv UI na zaposlovanje ter preoblikovanje delovnih okolij v različnih gospodarskih sektorjih. Raziskava se osredotoča na proizvodni, storitveni in razvojni sektor, pri čemer analiziramo, kako zaposleni in vodstvo zaznavajo prisotnost UI v organizacijah ter kakšne izzive in priložnosti prinaša njena implementacija. Cilj raziskave je ugotoviti, v kolikšni meri so zaposleni in vodstvo seznanjeni z vplivom tehnologije na delovna mesta ter kako se kadrovski management sooča s spremembami v zaposlovanju. V teoretičnem delu smo predstavili zgodovinski razvoj tehnologij, opredelili ključne inovacije in preučili sodobne trende v zaposlovanju. Poseben poudarek smo namenili kadrovskemu managementu v kontekstu UI, kjer smo analizirali vpliv tehnologije na procese zaposlovanja, izbire kandidatov in upravljanje talentov. Empirični del temelji na kombinaciji kvantitativnih in kvalitativnih metod. Izvedli smo anketno raziskavo ter opravili intervjuja s predstavnikoma izbranih podjetij. Rezultati raziskave nakazujejo, da je dejanska uporaba UI v trenutnem delovnem okolju še vedno omejena. Vodstva organizacij sicer prepoznavajo njen potencial, vendar niso v celoti pripravljena na spremembe. Ključni izzivi, s katerimi se soočajo, vključujejo etične dileme, varnost podatkov in transparentnost algoritmov pri izbiri kandidatov. Prav tako še niso vzpostavljene ustrezne strategije za krepitev medgeneracijske pomoči pri usposabljanju zaposlenih za delo z UI. Za uspešno implementacijo so ključni vlaganje v usposabljanje zaposlenih, razvoj organizacijske kulture ter prilagoditev regulativnih okvirjev, ki bodo zagotavljali etično in pravično uporabo UI v procesih zaposlovanja.

Keywords

Prihodnost dela;zaposlovanje;umetna inteligenca;kadrovski management;zaposleni.;

Data

Language:	Slovenian
Year of publishing:	2025
Typology:	2.09 - Master's Thesis
Organization:	UM FOV - Faculty of Organizational Sciences
Publisher:	[A. Korošec]
UDC:	004.8
COBISS:	240064515
Views:	0
Downloads:	24
Average score:	0 (0 votes)
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Other data

Secondary language:	English
Secondary title:	Impact of artificial intelligence on employment
Secondary abstract:	Artificial intelligence (AI) is one of the key technologies of the Fourth Industrial Revolution, already driving significant changes in society and the labor market. This master's thesis examines the impact of AI on employment and the transformation of work environments across various economic sectors. The research focuses on the manufacturing, service, and development sectors, analyzing how employees and management perceive the presence of AI in organizations and what challenges and opportunities its implementation presents. Objective is to determine the extent to which employees and management are aware of AI’s impact on jobs and how HRM is addressing changes in employment. Theoretical part provides a historical overview of technological development, defines key innovations, and explores employment trends. Special emphasis is placed on HRM in the context of AI, analyzing its influence on hiring processes, candidate selection, and talent management. Empirical part is based on a combination of quantitative and qualitative methods. A survey was conducted with representatives from two selected companies. Findings indicate that the actual use of AI in the current work environment remains limited. While management recognizes its potential, organizations are not yet fully prepared for these changes. Key challenges include ethical dilemmas, data security, and algorithm transparency in candidate selection. Additionally, structured strategies for strengthening intergenerational support in AI-related employee training have not yet been established. For successful implementation, it is essential to invest in employee training, develop organizational culture, and adapt regulatory frameworks to ensure the ethical and fair use of AI in recruitment and employment processes.
Secondary keywords:	Umetna inteligenca;Trg dela;Univerzitetna in visokošolska dela;
Type (COBISS):	Master's thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za organizacijske vede
Pages:	V, 75 f., [12] f. pril.
ID:	26339426