THE ROLE OF ARTIFICIAL INTELLIGENCE IN MODERN DIPLOMATIC PRACTICE

Authors

DOI:

https://doi.org/10.32689/2523-4625-2025-1(77)-11

Keywords:

artificial intelligence (AI), diplomacy, negotiations, forecasting, public diplomacy, cybersecurity, social media, information threats, ethical risks

Abstract

This article examines the role and potential of artificial intelligence (AI) in the field of diplomacy as a digitalsupport tool for data analysis, strategic decision-making, and monitoring of international processes. In the courseof the study, the author used a combined qualitative methodology, which includes analysis of secondary sources (desk research): scientific publications, reports of international organizations, case studies, research by technology companies (Google, Microsoft, IBM, etc.); review and systematization of cases (case-study method); comparative analysis; analysis of the benefits, challenges and risks arising from the use of AI in diplomacy.The author analyzes in detail the possibilities of using AI to predict conflicts, combat disinformation,cybersecurity, process large amounts of information, analyze public opinion, and automate routine tasks of diplomatic services. Examples of the use of modern technologies such as Natural Language Processing, machine learning, data visualization, and simulation modeling are considered. Emphasis is placed on practical tools alreadyused in diplomacy, such as GDELT, NewsGuard, Graphika, IBM Watson, and others. The author also highlights the risks associated with the use of AI: cyber threats, privacy intrusion, technological inequality, and lack of legal regulation. The author emphasizes that the effective integration of AI into diplomatic practice requires balancinginnovation with ethical, security, and legal considerations.

References

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Published

2025-05-28

How to Cite

КЛИМЧУК, І. (2025). THE ROLE OF ARTIFICIAL INTELLIGENCE IN MODERN DIPLOMATIC PRACTICE. Scientific Works of Interregional Academy of Personnel Management. Political Sciences and Public Management, (1(77), 72-77. https://doi.org/10.32689/2523-4625-2025-1(77)-11