Artificial Intelligence and User Requests. Verification of Information Provided by Artificial Intelligence for a Specific Category of Inquiries from Users of the State Archives in Zagreb

Authors

  • Katarina Horvat Archival advisor at the State Archives in Zagreb

DOI:

https://doi.org/10.33700/2670-451X.36.1.93-105(2026)

Keywords:

artificial intelligence, research on individual persons, population records, State Archives in Zagreb

Abstract

Purpose: To gain insight into the types of answers an artificial intelligence service provides to specific questions from archive users, and to verify and evaluate them with regard to existing advantages and disadvantages.

Method / Approach: The research is based on an analysis of responses generated by artificial intelligence in response to inquiries regarding specialized research topics.

Conclusions: Artificial intelligence can be a valuable aid in research. It offers a wealth of ideas in a single place; however, some of its responses may be inaccurate. It is an excellent tool in the hands of someone who is an expert in a field and can take the information obtained with a degree of caution and eliminate or investigate any errors in it.

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References

HR-DAZG-6 Kraljevsko redarstveno povjerenstvo za Slobodni kraljevski glavni grad Zagreb https://daz.hr/vodic/site/article/hr-dazg-6-kraljevsko-redarstveno-povjerenstvo-za-slobodni-kraljevski-glavni-grad-zagreb accessed on October 6, 2026. (Description of the fonds in the Online Guide of the State Archives in Zagreb.)

HR-DAZG-12 Uprava policije grada Zagreba https://daz.hr/vodic/site/article/hr-dazg-12-uprava-policije-grada-zagreba/1/4 accessed on October 6, 2026. (Description of the fonds in the Online Guide of the State Archives in Zagreb.)

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Published

09.11.2026

Issue

Section

Articles

How to Cite

Artificial Intelligence and User Requests. Verification of Information Provided by Artificial Intelligence for a Specific Category of Inquiries from Users of the State Archives in Zagreb. (2026). Atlanti, 36(1), 93-105. https://doi.org/10.33700/2670-451X.36.1.93-105(2026)