20.500.12556/RUL-182653 Vpliv orodij umetne inteligence na delo zaposlenih v izbrani banki diplomsko delo Impact of artificial intelligence tools on the work of employees in the selected bank Zaradi naraščajočega števila transakcij in vse večje zapletenosti shem finančnega kriminala zaposleni v bančnih institucijah ne morejo več v celoti in učinkovito nadzorovati vseh aktivnosti. Posledično se v bančnem sektorju, zlasti na oddelkih za preprečevanje pranja denarja, vse pogosteje uvaja orodja umetne inteligence z namenom povečanja učinkovitosti in podpore zaposlenim. Namen diplomskega dela je preučiti vpliv uporabe orodij umetne inteligence na delo zaposlenih na oddelku za preprečevanje pranja denarja v anonimno izbrani banki. V delu je predstavljena vloga umetne inteligence v bančnem sektorju, s poudarkom na prednostih in slabostih njene uporabe. Posebna pozornost je namenjena možnostim uporabe umetne inteligence pri zaznavanju sumljivih transakcij. Empirični del temelji na kvantitativni metodi z uporabo anketnega vprašalnika ter kvalitativni metodi z izvedbo dveh intervjujev z zaposlenima na oddelku za preprečevanje pranja denarja, s poudarkom na uporabi orodij umetne inteligence med zaposlenimi in izzivom ter vplivom njihove uporabe na delovne procese. Rezultati raziskave so pokazali, da med spoloma ni zaznanih razlik pri uporabi umetne inteligence, medtem ko starost vpliva na odprtost in pripravljenost za uporabo teh orodij. Zaposleni večinoma ocenjujejo, da umetna inteligenca pozitivno vpliva na produktivnost, predvsem z zmanjševanjem rutinskih nalog in administrativnega dela, vendar hkrati izražajo zadržke zaradi nezaupanja v točnost rezultatov. Ugotovitve imajo pomembno praktično vrednost za bančne institucije, saj poudarjajo potrebo po premišljeni implementaciji umetne inteligence, dodatnih praktičnih izobraževanjih zaposlenih ter postopni krepitvi zaupanja v ta orodja. Diplomsko delo tako prispeva k boljšemu razumevanju vloge umetne inteligence v procesih preprečevanja pranja denarja in predstavlja podlago za nadaljnje raziskave ter razvoj prakse. The growing complexity of financial crime schemes and the increasing number of transactions means that employees in banking institutions are no longer able to monitor all their activities fully and effectively. Consequently, the banking sector, particularly anti-money laundering departments, is increasingly adopting artificial intelligence tools to enhance efficiency and support employees. This bachelor's thesis has examined the impact of artificial intelligence tools on the work of anti-money laundering department employees in an anonymously selected bank. The theoretical section provides an overview of artificial intelligence, including its historical development and role in the banking sector, and highlights the associated advantages and disadvantages. Particular focus is given to the anti-money laundering department and the potential applications of artificial intelligence in detecting suspicious transactions. The empirical part is based on quantitative methods involving a survey questionnaire, as well as qualitative methods involving two interviews with anti-money laundering department employees. The research results showed that no gender-based differences were identified in the use of artificial intelligence, whereas openness and willingness to use these tools are influenced by age. Employees generally believe that artificial intelligence has a positive impact on productivity by reducing routine tasks and administrative work. However, they also express concerns about the accuracy of the results due to a lack of trust. The findings have significant practical value for banking institutions, as they emphasize the importance of carefully implementing artificial intelligence, providing employees with additional practical training, and gradually building trust in these tools. Thus, the bachelor's thesis contributes to a better understanding of the role of AI in anti-money laundering processes, providing a foundation for further research and practical development. umetna inteligenca preprečevanje pranja denarja bančni sektor avtomatizacija delovnih procesov produktivnost artificial intelligence anti-money laundering banking sector automation of work processes productivity true false false [N. Potočnik] Slovenski jezik Angleški jezik Diplomsko delo/naloga 2026-05-20 10:45:03 2026-05-20 10:45:20 2026-06-02 16:34:19 0000-00-00 00:00:00 2026 0 Ljubljana 0 Ljubljana VIII, 63 str. 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.8:005.336.1:336.71(497.4)(043.2) 18957 280200451 Potocnik_Nina_-_VPLIV_ORODIJ_UMETNE_INTELIGENCE_NA_DELO_ZAPOSLENIH_V_IZBRANI_BANKI.pdf Potocnik_Nina_-_VPLIV_ORODIJ_UMETNE_INTELIGENCE_NA_DELO_ZAPOSLENIH_V_IZBRANI_BANKI.pdf 1 1DEE72806A6EA0AEA2C7EA11FD0CE572 907da49b9c9bcd90329d8bbb9e12a79251df7016a109529c3fb45817c3947ea6 eabe77a0-5427-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=234108 Fakulteta za upravo 0 0 0