INDECS, Vol. 24 No. 2, 2026.
Original scientific paper
https://doi.org/10.7906/indecs.24.2.4
AI-Supported Modernization of the Croatian Coast Guard: Marine Pollution Response in Exclusive Economic Zone
Ivona Balić Dorić
; Croatian Navy, Split, Croatia
Robert Fabac
orcid.org/0000-0002-6386-4469
; University of Zagreb, Faculty of Organization and Informatics Varaždin, Varaždin, Croatia
*
Goran Žanko
; Institute for Research and Transfer of Advanced Defence Technologies, Zagreb, Croatia
Ante Sršen
; Croatian Navy, Split, Croatia
* Corresponding author.
Abstract
The maritime orientation of the Republic of Croatia significantly shapes its viability and overall existence. Beyond its cultural, historical, and natural significance, the Adriatic Sea also holds strategic importance for Croatia, serving as one of the country’s vital economic resources. The evolving geopolitical landscape is driving substantial change, particularly in the energy supply through existing corridors, and may prompt European Union member states to expand maritime energy transport across the Adriatic Sea. Recognizing the high level of potential risk for marine pollution, due to increased maritime traffic in the Adriatic region, Croatia, Slovenia, and Italy have established a joint platform for prevention and response to potential incidents. In addition to outlining the current intervention management model for sudden marine pollution in the Republic of Croatia, this article presents the role and importance of the Croatian Coast Guard as the key authority for maritime security and a central organization in preventing, mitigating, preparing for, and responding to sudden marine pollution in Croatia’s Exclusive Economic Zone. To assess its current response capabilities and future development and modernization needs, support was sought from the ChatGPT artificial intelligence model. By addressing a set of targeted questions about potential directions for the technological and organizational modernization of the Coast Guard, the artificial intelligence system proposed meaningful solutions in an exceptionally short period of time. Findings indicate that the widely accessible large language model used in this study provides useful suggestions for Coast Guard development and for supporting the strategic planning process as a whole, with the potential to significantly reduce the workload and time required by planning teams and decision-makers.
Keywords
Croatian Coast Guard; marine pollution; prevention and response; modernization; artificial intelligence
Hrčak ID:
345588
URI
Publication date:
20.3.2026.
Visits: 333 *