EIM’S MESSAGE: Symposium INFOTEH‑JAHORINA – 25 years of development (2001–2026)

Stevan STANKOVSKI

In the last twenty-five years, the INFOTECH-JAHORINA Symposium has evolved from a small gathering into a significant scientific forum. Initially, it attracted a small group of researchers, but today it draws hundreds of participants from various disciplines. Throughout the years, the conference has kept up with scientific trends and provided a space for the exchange of ideas between academia and industry. It has especially contributed to the creation of a network of cooperation between institutions and individuals not only in the Balkan region but also throughout Europe and the world. Each new decade has brought progress in both the quality of published papers and the organization of symposiums. Publications resulting from the conference have become references in many works. The organizers continuously invested in improving the program by introducing plenary lectures, workshops, and panel discussions. The conference also provided an opportunity for young researchers to present their first works. The 25th anniversary confirms the conference’s importance and lasting value in the scientific community. A personal review of this period reveals that the conference did more than just follow the course of education and scientific research; it shaped it.

The Role of Gender and Age in Shaping Attitudes toward Artificial Intelligence

Luka MIHAILO LAZIĆ

The aim of this study was to examine the relationship of age and gender with positive and negative attitudes toward artificial intelligence (AI) in a sample from Serbia and the surrounding region, in order to assess the presence of significant differences and associations, as well as their consistency with findings from previous studies. The research was conducted on a convenience sample of 238 participants from Serbia and region countries, aged 18 to 67 years (M = 29.25, SD = 9.24). The results showed weak  and significant association between age and negative attitudes, and significant differences between men and women in positive attitudes toward AI, whereas men expressed higher levels of positive attitudes. These findings suggest a potential role of cultural factors in shaping attitudes toward AI, which is consistent with the findings of previous studies.

AI-Driven Cyber Risk Assessment in Modern Business Information Systems

Alen KAMIS, Jelena RUŽIĆ, Aleksandra MARKOVIC, Nemanja DERETIC, Sasa KUKOLJ

This paper presents and provides a detailed explanation of a new type of methodology, AI-Driven Cyber Risk Assessment, applied through a case study involving four companies from Bosnia and Herzegovina. Contemporary approaches to information security are increasingly based on dynamic and adaptive risk assessment models, which go beyond static, periodic evaluations and enable continuous monitoring of system security posture. AI-Driven Cyber Risk Assessment represents one of the emerging methodologies in information security, focusing on the analysis and mitigation of cyber risks.

Use of Sketch Engine in Linguistic and Literary Analysis

Darko KOVAČEVIĆ

This paper examines the applicability of Sketch Engine, a web-based corpus analysis platform, across two distinct but complementary domains: linguistic analysis and corpus stylistic analysis of literary texts. The study begins with an overview of corpus linguistics, stylistics, and corpus stylistics as theoretical frameworks, followed by a description of Sketch Engine’s principal analytical tools and its position relative to other available corpus analysis software. A structured literature review is provided for both domains of application. The central part of the paper presents a comprehensive account of the ways in which Sketch Engine’s tools—including Wordlist, Concordance, Word Sketch, Word Sketch Difference, Thesaurus, N-grams, and Keywords—can be employed to uncover lexical, grammatical, phraseological, and stylistic patterns in language corpora. Examples of their application are discussed, with attention to methodological implications and analytical insights. The paper concludes with reflections on the scope and versatility of Sketch Engine as a resource for corpus-driven linguistic and literary research, and identifies directions for future investigation.