20.500.12556/RUL-172704 Ovire podjetij v Evropski uniji pri uvajanju umetne inteligence magistrsko delo Barriers to artificial intelligence adoption faced by enterprises in the European Union Magistrska naloga z naslovom Ovire podjetij v Evropski uniji pri uvajanju umetne inteligence predstavlja okvir za podjetja, ki želijo uvesti UI. V poglavju Definicije in kontekst predstavim definicije UI, s čimer omejim področje obravnavanih tehnologij. V naslednjem poglavju preučim relevantne teorije, s čimer vzpostavim polje preučevanja, razdelam njegovo strukturo in opredelim dejavnike. V poglavju Okolja uvajanja umetne inteligence teoretskim dejavnikom dodam kazalnike, s katerimi konkretno prikažem okoljske pogoje za uvajanje UI na globalni ravni in na ravni izbranih držav. V naslednjem, petem poglavju, se posvetim podrobnejši, kvalitativni preučitvi teoretskih dejavnikov na ravni Evropske unije in ravni izbranih držav članic. Nalogo sklenem s šestim poglavjem, srcem naloge, Ovirami, s katerimi se srečujejo podjetja. S tem teoretskim dejavnikom določim uteži, konkretnim organizacijam, ki želijo uvesti katero od novih tehnologij, pa pripravim osnovo za določitev prioritet na poti uspešnega uvajanja UI. Najpomembnejše prepoznane ovire so pomanjkanje delovne sile s primernimi veščinami, stroški uvajanja in kibernetska varnost. Master thesis 'Barriers to AI adoption faced by enterprises in the European Union' is a framework for companies on the path of AI adoption. I begin by presenting definitions to limit the scope of considered technologies. In the following chapter, I study relevant theories to limit the field of study, build its structure and outline its basic elements. Chapter Environments of AI adoption completes the basic theoretical elements with concrete measures to show environmental conditions for AI adoption at the global level as well as at the level of selected representative countries. In the fifth chapter, I focus on the European Union and selected member states by adding more precise, qualitative explanations to complement the quantitative measures in the previous chapter. The reader will find the essence of this master thesis in Chapter 6. By examining available international studies on AI adoption, basic theoretical elements are attributed weights. Thereby, I provide organizations willing to adopt AI with a system of prioritization for successful AI adoption. The most widely recognized barriers are lack of workforce with sufficient skills, costs of adoption and cybersecurity. umetna inteligenca Evropska unija podjetje ovira artificial intelligence European Union enterprise barrier true true false M. Skok Slovenski jezik Angleški jezik Magistrsko delo/naloga 2025-09-11 08:30:03 2025-09-11 08:30:12 2025-11-17 10:29:11 0000-00-00 00:00:00 2025 0 Ljubljana 0 Ljubljana 1 spletni vir (1 datoteka PDF (118 str.)) 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 334:004.89(4-6EU)(043.2) 179742 250569475 20224.pdf 20224.pdf 1 023C7BFAA62CB389D9C15BE8A462798F 143b269d77a4c7e534d2dae8920fc78cbe062f39305fcb8f23ac2da189188fe2 9c162e7f-8ed8-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=216734 Fakulteta za družbene vede 0 0 0