20.500.12556/RUL-156225 Zaupanje v umetno inteligenco med študenti diplomsko delo Trust in artificial intelligence among students Zaupanje v umetno inteligenco (UI) je ključnega pomena za sprejemanje te družbeno spreminjajoče tehnologije. Zaupanje je lahko dosti bolj trdno, če je utemeljeno v znanju, zato je širjenja znanje o umetni inteligenci izjemnega pomena. Namen diplomskega dela je preveriti povezavo med zaupanjem in znanjem o UI med študenti, katerih prihodnost bo v veliki meri prepletena z umetno inteligenco. Opravila sem anketno raziskavo med študenti, s katero sem preverjala njihovo splošno zaupanje v UI in zaupanje v uporabo UI, pri merjenju znanja pa ločim dva pojma; subjektivno in objektivno znanje. Dodatno sem preverjala še vpliv spola in smeri študija. Rezultati analize za zaupanje v uporabo UI najmočnejšo povezanost pokažejo s spremenljivko subjektivno znanje. O povezanosti pa lahko govorimo tudi z objektivnim znanjem, spolom in smerjo študija anketirancev. Z nadaljnjo multiplo analizo za zaupanje v UI dobimo statistično značilen model, ki potrdi pozitiven učinek subjektivnega znanja in negativen učinek spola. Tisti, ki torej menijo, da vedo več o UI in moški v večji meri zaupajo v uporabo UI. Trust in artificial intelligence (AI) is crucial for the adoption of this socially-changing technology. Trust can be much more solid if it is grounded in knowledge, which is why spreading knowledge about artificial intelligence is of utmost importance. The aim of the thesis is to analyse the connection between trust in AI and knowledge about it among students whose futures will be significantly intertwined with artificial intelligence. I conducted a survey among students to evaluate their general trust in AI as well as trust in the use of AI. When measuring knowledge, I distinguish between the concepts of subjective and objective knowledge. I also consider the influence of gender and field of study. The results of the analysis suggest that the strongest correlation with trust in AI is found with the variable of subjective knowledge. There is also a connection with objective knowledge, gender, and field of study of the respondents. With further multiple regression analysis of trust in AI, we obtain a statistically significant model that confirms the positive effect of subjective knowledge and the negative effect of gender. It is, therefore, those who think they know a lot about AI and men that have more trust in AI. umetna inteligenca zaupanje subjektivno znanje objektivno znanje študentje artificial intelligence trust subjective knowledge objective knowledge students true true false N. Kamenšek Slovenski jezik Angleški jezik Diplomsko delo/naloga 2024-05-15 08:30:02 2024-05-15 08:30:07 2024-05-16 10:30:49 0000-00-00 00:00:00 2024 0 Ljubljana 0 Ljubljana 1 spletni vir (1 datoteka PDF (45 str.)) 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.8(043.2) 161332 195601667 13807.pdf 13807.pdf 1 7C0698F7733AB1167B7C96345619716C 3f87809ec7afb5f06f13a048cf1edd886fed5a37328aa63d33373e096e7ad559 962af11b-1284-11ef-af1f-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=183570 Fakulteta za družbene vede 0 0 0