Editorial: The future of research on artificial intelligence in conflict management
Abstract
The unprecedented development and rapid growth in popularity of ChatGPT models have led the world to recognize AI’s importance, relevance and utility. Driven by the confluence of increased big data availability, advances in natural language processing (NLP) and enhanced computing power, AI has generated levels of excitement and investment that few technological innovations have achieved.Scholars in many fields are beginning to integrate AI to assist and augment their research. Within the field of conflict management, research on AI is emerging. As is often the case, researchers trained in one discipline are reluctant to adopt and integrate new paradigms from other fields. However, AI has great potential to drive significant advances in our understanding of conflict management. Therefore, this editorial helps to bridge the gap between AI and conflict management research by providing an explication of key AI paradigms and illustrating how they can be usefully adopted and integrated into our field. This results in a vision for a better future in which conflict management scholarship advances more rapidly and in more profound and sophisticated ways.Based on a careful review of the literature in AI, conflict management and related fields, five AI paradigms were identified. These paradigms are Machine Learning, Generative AI, AI Agents, Agentic AI and Physical AI (Hofmann and Kruhse-Lehtonen, 2025). Each of these five paradigms presents a critical area for integrating AI into…
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