magistrska naloga
Ksenija Grašič (Author), Boštjan Delak (Mentor)

Abstract

V magistrski nalogi sta bili izvedeni analiza in primerjava tehnologij Deepfake in ChatGPT, ki sta pomembni na področju umetne inteligence, prav tako je bil raziskan njun vpliv na družbo s pomočjo anket, intervjujev in analize strokovne literature. Deepfake omogoča ustvarjanje realističnih ponaredkov avdiovizualnih vsebin, medtem ko ChatGPT omogoča interaktivno komunikacijo prek naravnega jezika. Raziskovali so se različni vidiki teh tehnologij, vključno z razvojem, uporabo, prednostmi in omejitvami ter etičnimi vprašanji. Raziskava je pokazala, da ChatGPT spreminja način komunikacije in razumevanja digitalnega sveta, medtem ko Deepfake postavlja izzive na področju prepoznavanja in zaščite pred manipulacijami.

Keywords

Deepfake;ChatGPT;umetna inteligenca;klepetalni roboti;manipuliranje;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: FIŠ - Faculty of Information Studies
Publisher: [K. Grašič]
UDC: 004.8(043.2)
COBISS: 188151299 Link will open in a new window
Views: 324
Downloads: 18
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Other data

Secondary language: English
Secondary title: Razumevanje Deepfake tehnologije in ChatGPT
Secondary abstract: In the Master's thesis, Deepfake and ChatGPT, both important technologies in the field of artificial intelligence, were analysed and compared, and their impact on society was assessed through surveys, interviews and literature analysis. Deepfake allows the creation of realistic fake audiovisual content, while ChatGPT allows interactive communication through natural language. Various aspects of these technologies were explored, including development, use, advantages and limitations, and ethical issues. The research shows that ChatGPT is changing the way we communicate and understand the digital world, while Deepfake presents challenges in the areas of recognition and protection against manipulation
Secondary keywords: Deepfake;ChatGPT;Artificial intelligence;Chatbots;Manipulation;Univerzitetna in visokošolska dela;
Type (COBISS): Master's thesis/paper
Thesis comment: Fakulteta za informacijske študije v Novem mestu
Source comment: Na ov.: Magistrska naloga : študijskega programa druge stopnje;
Pages: XIII, 178 str.
ID: 23110809