Uloga umjetne inteligencije u digitalizaciji knjižnične građe

master's thesis

• Title (english): The role of artificial intelligence in the digitalization of library materials
• Author: Dino Rušinović
• Mentor: Hrvoje Stančić (mentor)
• Committee member: Tomislav Ivanjko (predsjednik povjerenstva)
• Committee member: Arian Rajh (član povjerenstva)
• Committee member: Hrvoje Stančić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Humanities and Social Sciences; (Department of information and Communication sciences); Zagreb
• Defense date and country: 2024-09-19, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Information and Communication Sciences; Library Science

Abstract

Ovaj rad istražuje utjecaj umjetne inteligencije (AI) na proces digitalizacije knjižnične građe s fokusom na prednosti, prepreke i potencijalne ishode ugradnje AI tehnologija u knjižnične sustave. Kombinirajući pregled postojeće literature s praktičnim istraživanjem, rad ispituje kako umjetna inteligencija može poboljšati pristupačnost, preciznost i učinkovitost usluga digitalne knjižnice. Pregled literature zadubljuje se u ključne alate umjetne inteligencije kao što su optičko prepoznavanje znakova (OCR), analiza teksta i algoritmi pretraživanja, dok se također bavi tehničkim i etičkim dilemama koje mogu proizaći iz njihove upotrebe. Praktični dio istraživanja, koji je uključio anketiranje stručnjaka i korisnika knjižnica, razotkrio je različita stajališta i iskustva o integraciji umjetne inteligencije u knjižnično poslovanje. Rezultati ukazuju na široko odobravanje implementacije umjetne inteligencije, ali značajnu zabrinutost u vezi sa smanjenom osobnom interakcijom, etičkim razmatranjima i potrebom za daljnjim obrazovanjem. U konačnici, ovim diplomskim radom se zaključuje da uspješna integracija umjetne inteligencije u knjižnicama zahtijeva oprezan i dobro zaokružen pristup koji uzima u obzir kako tehnološki napredak, tako i očuvanje temeljnih knjižničnih načela.

Abstract (english)

Thesis investigates the impact of artificial intelligence (AI) on the digitization process of library materials, focusing on the advantages, obstacles, and potential outcomes of incorporating AI technologies into library systems. Combining a review of existing literature with practical research, the study examines how artificial intelligence can improve the accessibility, accuracy, and efficiency of digital library services. The literature review delves into key AI tools such as optical character recognition (OCR), text analysis, and search algorithms, while also addressing the technical and ethical dilemmas that may arise from their use. The practical part of the research, which included surveying experts and library users, revealed different points of view and experiences about the integration of artificial intelligence in library operations. The
findings indicate broad approval of AI implementation, but significant concerns about reduced personal interaction, ethical considerations, and the need for further education. Ultimately, the study concludes that the successful integration of artificial intelligence in libraries requires a cautious and well-rounded approach that considers both technological advances and the
preservation of core library principles.

• Keywords: digitalizacija; knjižnična građa; umjetna inteligencija; disruptivne tehnologije; OCR
• Keywords (english): digitalization; library materials; artificial intelligence; disruptive technologies; OCR
• Language: croatian
• URN:NBN: urn:nbn:hr:131:633696
• Study programme: Title: Information Sciences; specializations in: Archivistics Study, Library Science, Information Sciences (research), Information Sciences (teaching), Museology and heritage management, Informatology; Course: Library Science; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra bibliotekarstva (magistar/magistra bibliotekarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-09-24 11:07:03