5441 KB31 KB201920252024Gajić, DavidHribar, LukaMertik, MatejNovak, MiroslavTomažič, Luka Martinštevilka:1letnik:34str. 75-96COBISSID_HOST:203768835ISSN:2670-4560URN:URN:NBN:SI:doc-7PNMBNOFenAlma Mater Europaea - European Center MariborInternational Institute for Archival ScienceAtlanti +archival materialarhivsko gradivoartificial intelligencedigitalizacijadigitisationdocumentsdokumentiumetna inteligencaExploring artificial intelligence challenges in the digitization of technical documentation| a preliminary study|Introduction: The study investigates the challenges of preserving corporate technical documentation. It explores artificial intelligence’s potential to trans-form archival material for better utilization.Methods: The research conducts an overview of regulations governing the pres-ervation of corporate archival material and a pilot study on digitized technical documents from the Regional Archives Maribor, aiming to establish foundational practices for artificial intelligence’s processing of technical documentation.Results: Preliminary results indicate artificial intelligence’s effectiveness in enhancing digitized technical heritage material. The study identified possible threshold indicators for the baseline quality of digitized documents that ensure artificial intelligence can process the data authentically.Discussion: The findings suggest that while artificial intelligence can significant-ly improve borderline usable material, it cannot assist with unreadable originals. The study emphasizes the importance of selecting appropriate artificial intelli-gence models and maintaining human oversight in the processTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaMednarodni inštitut arhivskih znanosti Trst-Maribor