The Algorithm That Watches the World Fall Apart: World Stability Intelligence and AI-Powered Geopolitical Risk Monitoring Across 87 Nations

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Authors: Oleh Ivchenko
Cited by: 0

Abstract

This article describes the development and deployment of the World Stability Intelligence (WSI) system — a machine learning-driven geopolitical risk monitoring platform that continuously tracks 87 countries across three risk dimensions: war risk (45%), political risk (35%), and economic risk (20%). Drawing on an ML-enhanced heuristic prediction framework (HPF-P), the system generates normalized stability scores mapped to five categories from Stable to Critical. This work discusses the methodology, current findings, and the epistemic limits of AI-based political forecasting, while making the research tools and API publicly available for researchers, journalists, and policymakers.

Fields of Study & Subjects

Political Conflict and Governance Ethics and Social Impacts of AI International Relations and Foreign Policy

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 March 2026
Language
EN