Artificial Intelligence for conflict early warning in Africa’s fragile states: Opportunities, architectures, and ethical challenges

Abstract

The processes of maintaining peace and security in Africa’s fragile states are compounded by interplay of factors. These conditions engender complex and fast-changing conflict dynamics that are hard to monitor using everyday methods. Artificial Intelligence (AI) presents unique challenges in its ability to process vast and real-time data from diverse sources to reveal conflict signals at its latent stage. The adoption of AI in conflict early warning systems (CEWS) thus presents an innovative approach to managing and preventing conflict in Africa’s fragile states. This paper explores the potential of AI towards enhancing CEWS that will predict, track and prevent conflict through data-driven insights. Integrated narrative review of literatures that is guided by structured brainstorming on challenges and impacts of AI technologies was employed as the methodology for this study. The study concludes that AI has the capacity to improve the accuracy and timeliness of conflict predictions but does not address contextual limitations in fragile states. However, significant challenges remain, such as data quality issues, algorithmic biases, and the need for human oversight. Furthermore, fragile states often lack the technical expertise and infrastructure required to fully implement AI solutions. Governments and international organisations must therefore invest in AI capacity-building, ensure data governance standards are met and foster collaboration between technology developers and peacebuilding experts. By integrating AI into national and regional security frameworks, fragile states can better anticipate and prevent conflicts, ultimately contributing to long-term peace and stability in their region.