ARTIFICIAL INTELLIGENCE IN ENSURING INFORMATION TRUST AS A PREREQUISITE FOR THE POST-WAR ECONOMIC RECOVERY OF UKRAINE
Abstract
The article is devoted to the study of the role of artificial intelligence in ensuring information trust as one of the key prerequisites for the post-war economic recovery of Ukraine. The research examines the growing impact of disinformation campaigns, cyber threats, coordinated information operations, and manipulative digital content on economic resilience, investment attractiveness, and public confidence in state institutions. It is argued that in the context of hybrid warfare, information trust should be considered not only as a component of information security but also as an important economic resource that influences business activity, international cooperation, and sustainable development. The paper analyzes the potential of artificial intelligence technologies, including machine learning, natural language processing, computer vision, and generative AI, for automated monitoring of the information environment, detection of fake news, identification of coordinated disinformation campaigns, fact-checking, and forecasting information risks. Particular attention is paid to the opportunities and challenges associated with the application of AI in public administration and strategic communications. The study proposes an original conceptual model illustrating the relationship between artificial intelligence, information trust, and the post-war economic recovery of Ukraine. The model demonstrates how AI technologies contribute to the formation of a trustworthy information environment, strengthen transparency and accountability of public institutions, improve communication between the government, businesses, and society, and ultimately create favorable conditions for attracting investment, developing the digital economy, and accelerating European integration. The article also substantiates practical directions for implementing the proposed model through the development of a national AI-based information monitoring system, improvement of digital literacy, support for independent fact-checking initiatives, and harmonization of Ukraine's regulatory framework with the European Union's approaches, including the AI Act and the Digital Services Act.
References
2. Куйбіда В. С., Карпенко О. В., Наместнік В. В. Цифрове врядування в Україні: базові дефініції понятійно-категоріального апарату // Вісник Національної академії державного управління при Президентові України. Серія «Державне управління». 2018. № 1. С. 5-10. URL: http://nbuv.gov.ua/UJRN/vnaddy_2018_1_3
3. Череп А., Воронкова В., Череп О., Калюжна Ю., Андрюкайтене Р. Тенденції розвитку людиноорієнтованого управління персоналом в умовах глобалізації та цифровізації: виклики та можливості/ 4.0. HUMANITIES STUDIES : збірник наукових праць / гол. ред. В. Г. Воронкова. Запоріжжя : Видавничий дім «Гельветика», 2024. Випуск 18 (95). С. 176 – 188. URL: http://humstudies.com.ua/article/view/299874
4. Bostrom N. Superintelligence: Paths, Dangers, Strategies. Oxford: Oxford University Press, 2014. 352 p.
5. Cherep, O., Kaliuzhna, Y., Mykhailichenko, L., Markova, S., & Naumenko, Y. (2025). Formation of a strategy for countering and identifying AI technologies in the fight against disinformation under martial law. Technology Audit and Production Reserves, 2(2(82), 74–79. Avaliable at: https://doi.org/10.15587/2706-5448.2025.327157
6. European Commission. White Paper on Artificial Intelligence: A European Approach to Excellence and Trust. Brussels, 2020. URL: https://commission.europa.eu/publications/white-paper-artificial-intelligence-european-approach-excellence-and-trust_en
7. European Union. Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). Official Journal of the European Union, 2024. URL: https://eur-lex.europa.eu/eli/reg/2024/1689/oj
8. Floridi L. The Ethics of Artificial Intelligence: Principles, Challenges, and Opportunities // Oxford Handbook of Digital Ethics. Oxford : Oxford University Press, 2023.
9. LeCun Y., Bengio Y., Hinton G. Deep Learning // Nature. 2015. Vol. 521. № 7553. P. 436-444. DOI: https://doi.org/10.1038/nature14539
10. OECD. OECD AI Principles. Paris : OECD Publishing, 2019 (updated 2024). URL: https://oecd.ai/en/ai-principles
11. O'Neil C. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. New York : Crown Publishing Group, 2016. 272 p.
12. Russell S.Human Compatible: Artificial Intelligence and the Problem of Control. New York : Viking, 2019. 352 p.
13. UNESCO. Recommendation on the Ethics of Artificial Intelligence. Paris : UNESCO, 2021. URL: https://www.unesco.org/en/articles/recommendation-ethics-artificial-intelligence
1. Karpenko, O. V. (2020). Tsyfrove vriaduvannia [Digital Governance]. Kyiv: IDEIa PRINT. (in Ukrainian).
2. Kuibida, V. S., Karpenko, O. V., & Namestnik, V. V. (2018). Tsyfrove vriaduvannia v Ukraini: bazovi definitsii poniatiino-katehorialnoho aparatu [Digital governance in Ukraine: basic definitions of the conceptual framework]. Visnyk Natsionalnoi akademii derzhavnoho upravlinnia pry Prezydentovi Ukrainy. Seriia "Derzhavne upravlinnia", (1), 5-10. Available at: http://nbuv.gov.ua/UJRN/vnaddy_2018_1_3
3. Bostrom, N. (2014). Superintelligence: Paths, Dangers, Strategies. Oxford: Oxford University Press.
4. Cherep, A., Voronkova, V., Cherep, O., Kaliuzhna, Y., & Andriukaitiene, R. (2024). Tendentsii rozvytku liudynooriientovanoho upravlinnia personalom v umovakh hlobalizatsii ta tsyfrovizatsii: vyklyky ta mozhlyvosti [Trends in the development of human-centered personnel management under globalization and digitalization: challenges and opportunities]. Humanities Studies, 18(95), 176-188. Available at: http://humstudies.com.ua/article/view/299874
5. Cherep, O., Kaliuzhna, Y., Mykhailichenko, L., Markova, S., & Naumenko, Y. (2025). Formation of a strategy for countering and identifying AI technologies in the fight against disinformation under martial law. Technology Audit and Production Reserves, 2(2(82)), 74-79. https://doi.org/10.15587/2706-5448.2025.327157
6. European Commission. (2020). White Paper on Artificial Intelligence: A European Approach to Excellence and Trust. Brussels. Available at: https://commission.europa.eu/publications/white-paper-artificial-intelligence-european-approach-excellence-and-trust_en
7. European Union. (2024). Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). Official Journal of the European Union. Available at: https://eur-lex.europa.eu/eli/reg/2024/1689/oj
8. Floridi, L. (2023). The Ethics of Artificial Intelligence: Principles, Challenges, and Opportunities. In The Oxford Handbook of Digital Ethics. Oxford: Oxford University Press.
9. LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep Learning. Nature, 521(7553), 436-444. https://doi.org/10.1038/nature14539 (accessed: July 31, 2026)
10. OECD. (2019). OECD AI Principles. Paris: OECD Publishing. Updated 2024. Available at:
11. O'Neil, C. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. New York: Crown Publishing Group.
12. Russell, S. (2019). Human Compatible: Artificial Intelligence and the Problem of Control. New York: Viking.
13. UNESCO. (2021). Recommendation on the Ethics of Artificial Intelligence. Paris: UNESCO. Available at: https://www.unesco.org/en/articles/recommendation-ethics-artificial-intelligence
Copyright (c) 2026 Олександр Череп, Юлія Калюжна, Тетяна Мостенська

This work is licensed under a Creative Commons Attribution 4.0 International License.


