20.500.12556/DKUM-94200 Usage of Artificial Intelligence Tools in Human Resources Management Uporaba orodij umente inteligence v managementu človeških virov Artificial intelligence is one of the largest technological trends in the 2020s, and many processes have been transformed by it, just like all technological innovations have. It is no longer based exclusively on corporate level, but since its free public launch, AI has become much more accessible that people are even using it for personal needs. Human Resources Management is not immune to the changes and HR leaders are utilising it as well to improve efficiency, data-driven leadership and decision-making. However, there is one concern from general public: how smart and ethical is it to have AI deployed in a department that is about managing humans and its relationships, where we need to have a human to understand the context and emotions? The theoretical part of this thesis explores technological evolution of Human Resources Management, brief fundaments for the AI technology, HRM areas where it can be applied, along with its benefits and detriments, which serves as the basis to gain knowledge and insights through literature review. Furthermore, the empirical part explores the actual usage by interviewing HR leaders that have deployed AI into their technical stack. With rich qualitative data from different perspectives, we are able to see how AI is being used, and HR professionals’ respective opinions, who all agree that AI is a powerful tool that transforms the HRM processes by dealing with repetitive and mostly administrative tasks, leaving plenty of space to focus on more creative and strategic tasks. One of the largest concerns regarding AI is in people; how they train the model and to what extent is AI being relied on. Umetna inteligenca je eden od največjih tehnoloških trendov v dvajsetih letih 21. stoletja in je tako kot vse tehnološke inovacije, preoblikovala številne procese. UI ni več izključno na ravni podjetij, ampak je od svoje brezplačne javne objave postala veliko bolj dostopna, da jo ljudje uporabljajo celo za osebne potrebe. Management človeških virov ni imuno na spremembe in vodje kadrovskih oddelkov jo uporabljajo tudi za izboljšanje učinkovitosti, vodenja na podlagi podatkov in odločanja. Vendar pa obstaja ena skrb širše javnosti: kako pametno in etično je imeti umetno inteligenco v oddelku, ki se ukvarja z upravljanjem ljudi in njihovimi odnosi, kjer potrebujemo človeka, ki razume kontekst in čustva? Teoretični del te diplomske naloge je raziskal tehnološki razvoj managementa človeških virov, na kratko predstavil osnove tehnologije umetne inteligence, področja upravljanja s človeškimi viri, kjer jo je mogoče uporabiti, skupaj z njenimi prednostmi in slabostmi, kar je služilo kot osnova za pridobivanje znanja in vpogledov s pregledom literature. Poleg tega je empirični del raziskal dejansko uporabo z intervjuji z vodji kadrovskih oddelkov, ki so umetno inteligenco uvedli v svoj tehnični sklad. Z bogatimi kvalitativnimi podatki z različnih zornih kotov smo lahko videli, kako se uporablja umetna inteligenca in kakšna so njihova stališča do UI, ki so usklajena in se strinjajo da je UI močno orodje ki je spremenilo načine obdelave procese managementa človeških virov, s fokusom na obdelavo ponavljajočih in administrativnih nalog, ki je pustilo veliko prostora da se fokusirajo na bolj ustarjalne in strateške naloge. Ena od največjih skrbi glede uporabe UI je med ljudmi; kdo uvaja UI modele in koliko se zanašajo na UI. human resources management artificial intelligence machine learning management človeških virov umetna inteligenca strojno učenje true true false V. Jensen] Angleški jezik Slovenski jezik Diplomsko delo/naloga 2025-08-07 19:40:14 2025-09-10 09:47:51 2025-09-11 03:36:12 0000-00-00 00:00:00 2025 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 005.96:004.8 248349955 UN_Jensen_Vanna_2025.pdf UN_Jensen_Vanna_2025.pdf 1 512BC3C50CF576CF3A6D29B958708282 be4ec036a1307baa9ee8591015d8a2388bf03099ffa80811309080bf6ded6e76 f004d0dd-88cf-11f0-82a8-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=197505 Ekonomsko-poslovna fakulteta 0 0 0