Prepoznavanje potencialne kriminalnosti s pomočjo umetne inteligence na podlagi fotografije

diplomsko delo

Aleš Okoren (Author), Ilija Tomanić Trivundža (Mentor)

Abstract

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.

Keywords

prepoznavanje obrazov;Umetna inteligenca;Preprečevanje kriminalitete;Stereotipi;Diplomska dela;

Data

Language:	Slovenian
Year of publishing:	2019
Typology:	2.11 - Undergraduate Thesis
Organization:	UL FDV - Faculty of Social Sciences
Publisher:	[A. Okoren]
UDC:	004.8:343.97(043.2)
COBISS:	36381277
Views:	622
Downloads:	187
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Identifying potential crime through artificial intelligence based on photography
Secondary 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.
Secondary keywords:	Artificial intelligence;Crime prevention;Stereotypes;Graduate theses;
Type (COBISS):	Bachelor thesis/paper
Study programme:	0
Embargo end date (OpenAIRE):	1970-01-01
Thesis comment:	Univ. v Ljubljani, Fak. za družbene vede
Pages:	41 str.
ID:	11195989