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Coordinated and published by The Grassroots Institute, the Grassroots Journal of Natural Resources (GJNR) is an international journal dedicated to the latest advancements in natural resources throughout the world. The goal of this journal is to provide a platform for scientists, social scientists, policy analysts, managers and practitioners (on all academic and professional levels) all over the world to promote, discuss and share various new issues and developments in different arenas of natural resources.
Solomiia Hanushchyn1, Andrii Zarichniak2, Liudmyla Akimova3, Olena Kyrianova4,
Oleksandr Khotskyi5, Oleksandr Akimov*6
1Department of Governance and Administration, Stepan Gzhytskyi National University of Veterinary Medicine and
Biotechnologies of Lviv, Lviv, Ukraine. Email: solo_gan@gmail.com | ORCID: https://orcid.org/0000-0002-6328-9978
2Department of Tourism Studies and Local History Ukraine, Vasyl Stefanyk Precarpathian National University,
Ivano-Frankivsk, Ukraine. Email: andriy_zarichnyak@pnu.edu.ua | ORCID: https://orcid.org/0000-0001-7191-6583
3Department of Labor Resources and Entrepreneurship, National University of Water and Environmental
Engineering, Rivne, Ukraine. Email: l_akimova@ukr.net | ORCID: https://orcid.org/0000-0002-2747-2775
4Department of Personnel Management and Training of Troops (Forces), Command and Staff Institute for the Use of
Troops (Forces), National Defence University of Ukraine, Kyiv, Ukraine. Email: elena_kirianova@kneu.edu.ua
ORCID: https://orcid.org/0000-0002-5202-7526
5Polissia National University, Zhytomyr, Ukraine. Email: Hotsky.oilhost@gmail.com
ORCID: https://orcid.org/0009-0000-2016-1168
6Department of Public Administration, Interregional Academy of Personnel Management, Kyiv, & Scientific and
Methodological Center for Personnel Policy of the Ministry of Defense of Ukraine, Kyiv, Ukraine.
Email: 1970aaa@ukr.net | ORCID: https://orcid.org/0000-0002-9557-2276
*Corresponding author
Grassroots Journal of Natural Resources, 8(2): 796-816. Doi: https://doi.org/10.33002/nr2581.6853.080237
Received: 15 July 2025
Reviewed: 13 August 2025
Provisionally Accepted: 15 August 2025
Revised: 17 August 2025
Finally Accepted: 20 August 2025
Published: 30 August 2025
Natural resources can generate significant wealth for a country by supporting livelihoods, food security, and the green economy, as well as producing trade and entrepreneurship at the local, national, and global levels. However, due to the massive amounts of revenue at stake, the extractives sector is frequently associated with weak governance and corruption. One of the core paradigms constituting the research is resource rent. The high rents created by natural resource earnings encourage rent-seeking, corruption, and favoritism, which can lead to poor and inequitable investment and spending practices. The article represents an attempt to trace patterns of dependencies between natural resources, sustainable use factors within the domain of social welfare, and national financial security. Based on thematic analysis and employing cases, the study suggests implementing AI in public administration to reduce shadowing and inefficient use of resources. In particular, the case of AI usage to combat deforestation is analyzed. Particular emphasis is also made on stakeholders’ interests and decentralized arrangements of natural resource governance. It was revealed that the power relationships among stakeholders may have a big influence on how well governance frameworks for managing natural resources work.
Natural resources use; Sustainability, AI solutions; Efficient management; Policy; National financial security
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Hanushchyn, S., Zarichniak, A., Akimova, L., Kyrianova, O., Khotskyi, O. and Akimov, O. (2025). The Role of Artificial Intelligence in Natural Resource Management: Issues of Transparency and Efficiency. Grassroots Journal of Natural Resources, 8(2): 796-816. Doi: https://doi.org/10.33002/nr2581.6853.080237
Hanushchyn, S., Zarichniak, A., Akimova, L., Kyrianova, O., Khotskyi, O., & Akimov, O. (2025). The Role of Artificial Intelligence in Natural Resource Management: Issues of Transparency and Efficiency. Grassroots Journal of Natural Resources, 8(2), 796-816. https://doi.org/10.33002/nr2581.6853.080237
Hanushchyn S., Zarichniak A., Akimova L., Kyrianova O., Khotskyi O., Akimov O. The Role of Artificial Intelligence in Natural Resource Management: Issues of Transparency and Efficiency. Grassroots Journal of Natural Resources, 2025, 8 (2), 796-816. https://doi.org/10.33002/nr2581.6853.080237
Hanushchyn, Solomiia, Zarichniak, Andrii, Akimova, Liudmyla, Kyrianova, Olena, Khotskyi, Oleksandr, Akimov, Oleksandr. 2025. The Role of Artificial Intelligence in Natural Resource Management: Issues of Transparency and Efficiency. Grassroots Journal of Natural Resources, 8 no. 2: 796-816. https://doi.org/10.33002/nr2581.6853.080237
Hanushchyn, Solomiia, Andrii Zarichniak, Liudmyla Akimova, Olena Kyrianova, Oleksandr Khotskyi and Oleksandr Akimov. 2025. The Role of Artificial Intelligence in Natural Resource Management: Issues of Transparency and Efficiency. Grassroots Journal of Natural Resources, 8 (2): 796-816. https://doi.org/10.33002/nr2581.6853.080237
| Internet Archive: | https://archive.org/details/m-00586_202602 |
| WorldCat: | https://search.worldcat.org/title/10969612570 |
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