At the “49th ICT and Electronics Convention MIPRO 2026”, held in Opatija, Croatia, from 25 to 29 May 2026, two scientific papers authored by members of the STAT-KONK project team were presented.
In the paper Mapping the Digital Divide in Artificial Intelligence: A VOSviewer-Based Bibliometric Literature Review, authors Mirjana Pejić Bach, Berislav Žmuk, Matija Fortuna, and Jovana Zoroja provide a bibliometric review of the literature on the digital divide in the context of artificial intelligence, with the aim of identifying the field’s intellectual structure, dominant research themes, and emerging directions. The analysis of publications indexed in the Web of Science database, conducted using VOSviewer, revealed that the main research themes are related to health, technology, education, governance, and ethics. Particular attention is being directed toward generative artificial intelligence, AI literacy, ethical issues, and algorithmic bias. The findings also highlight shortcomings in measuring the digital divide, the limited availability of international comparative studies, and the need for more effective translation of policy principles and guidelines into practical measures that foster inclusive artificial intelligence and digital inclusion.
In the paper Mapping Human-Algorithm Interaction: A Bibliometric and Conceptual Map of Transparency, Autonomy, and Digital Resilience (2010–2026), authors Marija Gombar, Mirjana Pejić Bach, and Mislav Ante Omazić conducted a bibliometric analysis of research on human-algorithm interaction within the field of Human-Computer Interaction (HCI), based on 377 publications indexed in the Scopus database between 2010 and 2026. Using the VOSviewer and Bibliometrix tools, the authors identified four dominant thematic areas: large language models and generative artificial intelligence; transparency and explainability associated with fairness and interpretability; recommender systems focused on trust; and user experience in human-algorithm interaction with an emphasis on control and responsibility. The results indicate a strong increase in interest in topics related to large language models after 2021. The paper also proposes a conceptual framework in which transparency supports user autonomy, autonomy strengthens system resilience, and both contribute to the design of more resilient digital interfaces.
The conference proceedings are expected to be published in July 2026.