Preview

Post-Soviet Issues

Advanced search

Artificial Intelligence and Big Data in Digital International Relations

https://doi.org/10.24975/2313-8920-2025-12-2-102-113

Abstract

The article examines the role of artificial intelligence (AI) and big data in the context of digital international relations. It explores the historical stages of AI development, key technological directions such as machine learning and neural networks, and their impact on the  economy, politics, and society. Special attention is paid to the strategic importance of big data as a critical resource for AI advancement, its role in shaping digital sovereignty, and global technological competition. The author investigates contemporary challenges related to the ethical and legal aspects of AI, including regulation, security, and international cooperation. The national strategies of leading countries (USA, China, EU, Russia) in the field of AI are analyzed, focusing on their approaches to ensuring technological leadership and data protection. The article emphasizes the need for universal international norms to prevent the fragmentation of the digital landscape and guarantee equitable access to technologies. The study highlights the transformation of international relations under the influence of AI, where the technological race has become the new “Great Game” of the 21st century. In conclusion, recommendations are provided for establishing a balanced global AI governance system based on multilateralism, fairness, and the consideration of all nations’ interests.

About the Author

S. V. Shitkov
Diplomatic Academy of the Russian Ministry of Foreign Affairs; MGIMO of the Russian Ministry of Foreign Affairs
Russian Federation

Sergey V. Shitkov, PhD in Law

53/2, b. 1 Ostozhenka st., Moscow, 119021

Vernadsky av., 76, Moscow, 119454



References

1. Digital Technologies and Artificial Intelligence in the Service of Diplomacy: Analytical Report / Edited by E.S. Zinovieva. Moscow: MGIMO; 2024.

2. Eliseeva D.Y., et al. The evolution of artificial intelligence and the possibility of its application in cyber games. Amazonia Investiga. 2020;9(28):123-129.

3. Jiang Y., et al. Quo vadis artificial intelligence? Discover Artificial Intelligence. 2022;2(1):4. DOI: https://doi.org/10.1007/s44163-022-00022-8

4. LeCun Y., Bengio Y., Hinton G. Deep learning. Nature. 2015;521(7553):436-444. DOI: https://doi.org/10.1038/nature14539

5. Wang Y., et al. Exploring new frontiers of deep learning in legal practice: A case study of large language models. International Journal of Computer Science and Information Technology. 2023;1(1):131-138.

6. Demchenko Y., De Laat C., Membrey P. Defining architecture components of the Big Data Ecosystem. 2014 International conference on collaboration technologies and systems (CTS). IEEE; 2014. P. 104-112. DOI: https://doi.org/10.1109/CTS.2014.6867550

7. Taffel S. Data and oil: Metaphor, materiality and metabolic rifts. New Media & Society. 2023;25(5):980-998. DOI: https://doi.org/10.1177/14614448211017887

8. Avila Pinto R. Digital sovereignty or digital colonialism. SUR-Int’l J. on Hum Rts. 2018;15:15.

9. Bareis J., Katzenbach C. Talking AI into being: The narratives and imaginaries of national AI strategies and their performative politics. Science, Technology, & Human Values. 2022;47(5):855-881. DOI: https://doi.org/10.1177/01622439211030007

10. Nikitenko S.V. International Legal Regulation of Artificial Intelligence: Analysis of the Current State and Development Prospects. Bulletin of Volgsky University named after V.N. Tatishchev. 2021;1(2):151-163.


Review

For citations:


Shitkov S.V. Artificial Intelligence and Big Data in Digital International Relations. Post-Soviet Issues. 2025;12(2):102-113. (In Russ.) https://doi.org/10.24975/2313-8920-2025-12-2-102-113

Views: 57


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


ISSN 2313-8920 (Print)
ISSN 2587-8174 (Online)