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Percepcija državljanov do avtomatiziranega sprejemanja odločitev v javni upravi : magistrsko delo
ID Urbanc, Sabina (Author), ID Durnik, Mitja (Mentor) More about this mentor... This link opens in a new window, ID Ravšelj, Dejan (Comentor)

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Abstract
Magistrsko delo preučuje percepcijo državljanov Republike Slovenije do ASO v javni upravi, pri čemer je raziskava umeščena v teoretični okvir dobrega in pametnega javnega upravljanja ter teorije sprejemanja tehnologij z namenom poglobljene, sistematične in reflektivne analize prepletanja normativnih pristopov upravljanja ter tehnoloških inovacij. Izpostavljeno je sistematično razumevanje percepcije državljanov kot ključno za učinkovito načrtovanje in implementacijo ASO, ki je hkrati legitimen, etičen, družbeno odgovoren ter skladen z načeli participativnosti in transparentnosti upravnih procesov. Empirična analiza, ki je temeljila na anketnem raziskovanju, je pokazala, da večje zaznavanje tveganj, povezanih z avtomatiziranimi sistemi za odločanje (ADMS), negativno vpliva na zaupanje državljanov v ASO medtem, ko višja raven zaupanja v ASO in zaznana uporabnost avtomatiziranih sistemov za odločanje korelativno prispevata k posameznikovi pripravljenosti na njihovo integracijo v upravne procese in namen, da sprejme avtomatizirane sisteme. Za državljane Republike Slovenije je najbolj sprejemljiv scenarij ASO v upravnem postopku za uveljavljanje pravice do dodatka za veliko družino, najmanj sprejemljiv pa postopek ASO v zdravstveni triaži. Zaznavanje tveganj ni statistično povezano s spolom, medtem ko starost šibko, a statistično značilno povečuje zaznano tveganje, pri čemer višja stopnja izobrazbe korelativno prispeva k njegovemu zmanjšanju. Stopnja zavedanja o obstoju avtomatiziranih sistemov ni bila statistično značilen prediktor zaupanja, kar kaže, da samo zavedanje obstoja avtomatiziranega sistema ne zagotavlja informacij o njegovem delovanju in zato ni dovolj za oblikovanje zaupanja. Slovenski respondenti izkazujejo višjo stopnjo zavedanja kot švedski, estonski in nemški.

Language:Slovenian
Keywords:dobro javno upravljanje, pametno javno upravljanje, umetna inteligenca, avtomatizirano sprejemanje odločitev, zaznavanje tveganj, zaupanje, sprejemanje tehnologije
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FU - Faculty of Administration
Place of publishing:Ljubljana
Publisher:[S. Urbanc]
Year:2025
Number of pages:X, 107 str.
PID:20.500.12556/RUL-175822 This link opens in a new window
UDC:35:004.8(497.4)(043.2)-054.4
COBISS.SI-ID:256826883 This link opens in a new window
Publication date in RUL:10.11.2025
Views:150
Downloads:32
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Secondary language

Language:English
Title:Citizens' perception of automated decision-making in public administration
Abstract:
This master’s thesis examines the perceptions of citizens of the Republic of Slovenia regarding ADM in public governance. The study is situated within the theoretical frameworks of good public governance, smart public governance, and technology acceptance theories, aiming to provide a systematic and reflective analysis of how normative governance approaches interact with technological innovations. Understanding citizen perceptions is crucial for the effective design and implementation of ADM that is legitimate, ethical, socially responsible, and aligned with participatory and transparent administrative principles. Empirical analysis based on survey research revealed that a higher perception of risks associated with ADMS negatively affects citizens’ trust in ADM, whereas higher trust in ADM and perceived usefulness of ADMS positively contribute to individuals’ willingness for ADM to be integrated into administrative processes. Among Slovenian citizens, ADM is most acceptable in procedures for claiming the allowance for large families, and least acceptable in healthcare triage. Risk perception was not statistically associated with gender, while age weakly but significantly increased perceived risk, with higher education correlating with lower perceived risk. The level of awareness of the existence of ADMS was not a statistically significant predictor of trust, indicating that mere awareness of an ADMS does not provide information about its functioning and is therefore insufficient for the formation of trust. Slovenian respondents demonstrated higher awareness than Swedish, Estonian, and German participants.

Keywords:good public governance, smart public governance, artificial intelligence, automated decision-making, risk perception, trust, technology acceptance

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