AI-POWERED EARLY WARNING SYSTEMS FOR GENOCIDE AND MASS ATROCITIES: A CASE STUDY OF THE ARMENIA-AZERBAIJAN CONFLICT AND THE PROTECTION OF ETHNIC ARMENIANS IN NAGORNO-KARABAKH

Abstract

The rise of artificial intelligence (AI) has opened new frontiers in humanitarian efforts, particularly in early warning systems for genocide and mass atrocities. This study examines two AI-powered systems: IBM’s Watson and The Sentinel Project’s Early Warning System, analyzing their methodologies, effectiveness, and implications for humanitarian interventions. Using a case study of Armenia and Azerbaijan’s interaction and its impact on Nagorno-Karabakh, this article explores the role of such systems in mitigating risks and fostering international cooperation. The findings highlight the transformative potential of AI in preventive diplomacy while addressing its limitations and ethical concerns. The paper also discusses ethical challenges, the role of international organizations, and the future potential of integrating AI systems with local grassroots intelligence to create a holistic framework for conflict prevention. By combining predictive analytics and real-time monitoring with human judgment, AI-powered systems could revolutionize humanitarian intervention, offering a scalable and effective solution to one of the most pressing challenges of our time.