Zaupanje v umetno inteligenco med študenti

diplomsko delo

Nadja Kamenšek (Author), Mitja Hafner-Fink (Mentor)

Abstract

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.

Keywords

umetna inteligenca;zaupanje;subjektivno znanje;objektivno znanje;študentje;

Data

Language:	Slovenian
Year of publishing:	2024
Typology:	2.11 - Undergraduate Thesis
Organization:	UL FDV - Faculty of Social Sciences
Publisher:	[N. Kamenšek]
UDC:	004.8(043.2)
COBISS:	195601667
Views:	50
Downloads:	5
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Trust in artificial intelligence among students
Secondary abstract:	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.
Secondary keywords:	artificial intelligence;trust;subjective knowledge;objective knowledge;students;Umetna inteligenca;Zaupanje;Študenti;Univerzitetna in visokošolska dela;
Type (COBISS):	Bachelor thesis/paper
Study programme:	0
Thesis comment:	Univ. v Ljubljani, Fak. za družbene vede
Pages:	1 spletni vir (1 datoteka PDF (45 str.))
ID:	23681461