Prepoznavanje potencialne kriminalnosti s pomočjo umetne inteligence na podlagi fotografije

Okoren, Aleš (author), Tomanić Trivundža, Ilija (mentor)

V tem diplomskem delu se bom v največji meri osredotočil na opisovanje trenutnega stanja in napredka prepoznavanja obrazov z namenom kaznovanja oziroma še prej preprečitve kriminala s pomočjo strojnega učenja, ki ga omogoča tehnologija umetne inteligence. Naslovil bom osrednjo problematiko vpeljavo omenjene tehnologije na področju institucionalnega nadzora in poskušal ovrednotiti njene prednosti in slabosti, predvsem iz vidika družbe, s katero se umetna inteligenca neposredno povezuje. Z manjšim poudarkom na zgodovinskem ozadju tematike bom razložil, zakaj je aplikacija te tehnologije v vsakdanje življenje lahko pomembna in, zlasti v modernejših časih, neizogibna. Cilj diplomske naloge je med drugim tudi osvetliti institucionalne vidike preprečitve kriminala, še preden se ta sploh zgod ter kaj to predstavlja za sleherne državljane. Z izsledki novejših raziskav in aktualnih primerov bom predstavil morebitne izboljšave tako na individualni ravni, ki ga zajema uporaba tehnologije prepoznavanja obrazov, kot tudi na širši, makro ravni, katerega glavni subjekt je družba v celoti.

• Language: Slovenian
• Keywords: umetna inteligenca, prepoznavanje obrazov, stereotipi
• Work type: Bachelor thesis/paper
• Organization: FDV - Faculty of Social Sciences
• Year: 2019
• PID: 20.500.12556/RUL-108889
• COBISS.SI-ID: 36381277
• Publication date in RUL: 31.07.2019

OKOREN, Aleš, 2019, Prepoznavanje potencialne kriminalnosti s pomočjo umetne inteligence na podlagi fotografije [online]. Bachelor’s thesis. [Accessed 21 June 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=108889

Secondary language

• Language: English
• Title: Identifying potential crime through artificial intelligence based on photography

Abstract

In this thesis I will be focusing mostly on describing the current state and the progress of facial recognition in the means of crime punishment, or even prevent crime through machine learning, which is provided by artificial intelligence technology. I will address the central issue of introducing this technology in the field of institutional surveillance and try to evaluate its strengths and weaknesses, especially from the point of view of the society, through which artificial intelligence is directly linked. With a little less emphasis on the historical background of the topic, I will explain why it could be important to use this technology in everyday life and, especially in modern times, inevitable. The goal of the thesis is to highlight the institutional aspects of crime prevention, before it even happens, and why is it important for every citizen. With the results of more recent studies and case studies, I will present possible improvements both at the individual level and at a wider, macro level.

• Keywords: artificial intelligence, facial recognition, stereotypes