Artificial Intelligence Adoption for Conflict Early Warning System in the Fragile States in Africa: Opportunities, Architecture and Ethical Imperatives
DOI:
https://doi.org/10.63746/njtd.v22i2.3996Keywords:
Artificial Intelligence, Conflict. Early Warning, Fragile State, Peacebuilding, ConflictAbstract
Economic instability, weak governance and fragmentation of social fabric have accounted for the problem of maintaining peace and security in fragile states. The adoption of Artificial Intelligence (AI) in conflict early warning systems (CEWS) presents an innovative approach to managing and preventing conflict in Africa’s fragile states. This paper explores the potential of AI to enhance CEWS that will predict, track and prevent conflict via data-driven insights. This study explore how AI technologies can be leveraged to enhancing conflict early warning frameworks in the fragile states thereby offering a proactive approach to peacebuilding and conflict prevention. Machine learning, predictive analytics and big data form the basis for AI applications in CEWS. These technologies can analyse vast datasets from sources like social media, satellite imagery, and geospatial data to detect conflict indicators and patterns, enabling decision-makers to take pre-emptive action. The study also draws on theories of conflict prevention and peacebuilding, emphasizing the role of technology in enhancing state capacity.
The study concludes that AI’s capacity to improve the accuracy and timeliness of conflict predictions. 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.
References
References
Abisoye, A., & Akerele, J. I. (2022). A scalable and impactful model for harnessing artificial intelligence and cybersecurity to revolutionize workforce development and empower marginalized youth. International Journal of Multidisciplinary Research and Growth Evaluation, 3(1), 714-719.
Abrahamsen, R. (2016). Security privatisation, the state, and development in the global South. In Palgrave Macmillan UK eBooks (pp. 243–257). https://doi.org/10.1057/978-1-137-42724-3_14
Alavi, A., Bogu, G. K., Wang, M., Rangan, E. S., Brooks, A. W., Wang, Q., Higgs, E., Celli, A., Mishra, T., Metwally, A. A., Cha, K., Knowles, P., Alavi, A. A., Bhasin, R., Panchamukhi, S., Celis, D., Aditya, T., Honkala, A., Rolnik, B., . . . Snyder, M. P. (2021). Real-time alerting system for COVID-19 and other stress events using wearable data. Nature Medicine, 28(1), 175–184. https://doi.org/10.1038/s41591-021-01593-2
Ault, J. K., & Spicer, A. (2013). The institutional context of poverty: State fragility as a predictor of cross-national variation in commercial microfinance lending. Strategic Management Journal, 35(12), 1818–1838. https://doi.org/10.1002/smj.2185
Baldwin, D. A. (2018). The concept of security. In National and international security (pp. 41-62). Routledge.
Bar-Tal, D. (2007). Sociopsychological foundations of intractable conflicts. American Behavioral Scientist, 50(11), 1430–1453. https://doi.org/10.1177/0002764207302462
Browning, C. S., & McDonald, M. (2013). The future of critical security studies: Ethics and the politics of security. European journal of international relations, 19(2), 235-255.
Chesterman, S., Ignatieff, M., & Thakur, R. C. (Eds.). (2005). Making states work: State failure and the crisis of governance. United Nations University Press.
Clayton, G., Dorussen, H., & Böhmelt, T. (2020). United Nations peace initiatives 1946-2015: introducing a new dataset. International Interactions, 47(1), 161–180. https://doi.org/10.1080/03050629.2020.1772254
Cortright, D., Fairhurst, R., & Wall, K. (Eds.). (2017). Drones and the future of armed conflict: Ethical, legal, and strategic implications. University of Chicago Press.
Da Silva, G. F. P., Pegetti, A. L., Piacesi, M. T., Belderrain, M. C. N., & Bergiante, N. C. R. (2020). Dynamic modeling of an early warning system for natural disasters. Systems Research and Behavioral Science, 37(2), 292-314.
David, W., Garmendia-Doval, B., & King-Okoye, M. (2023). Artificial Intelligence Support to the Paradigm Shift from Reactive to Anticipatory Action in Humanitarian Responses. In Lecture notes in computer science (pp. 145–162). https://doi.org/10.1007/978-3-031-31268-7_9
Donais, T. (2018). Security sector reform and the challenge of vertical integration. Journal of Intervention and Statebuilding, 12(1), 31–47. https://doi.org/10.1080/17502977.2018.1426681
Dulka, A. (2022). The use of artificial intelligence in international human rights law. Stan. Tech. L. Rev., 26, 316.
El-Jardali, F., Bou-Karroum, L., Jabbour, M., Bou-Karroum, K., Aoun, A., Salameh, S., Mecheal, P., & Sinha, C. (2023). Digital health in fragile states in the Middle East and North Africa (MENA) region: A scoping review of the literature. PLoS ONE, 18(4), e0285226. https://doi.org/10.1371/journal.pone.0285226
Eze, C. B., & Frimpong, O. B. (2020). Contributions of early warning to the African Peace and Security architecture: The Experience of the West Africa Network for Peacebuilding (WANEP). In Springer eBooks (pp. 181–194). https://doi.org/10.1007/978-3-030-46636-7_11
Firchow, P., Martin-Shields, C., Omer, A., & Mac Ginty, R. (2016). PeaceTech: The Liminal Spaces of Digital Technology in Peacebuilding. International Studies Perspectives, ekw007. https://doi.org/10.1093/isp/ekw007
Folorunso, N. A., Adewumi, N. T., Adewa, N. A., Okonkwo, N. R., & Olawumi, N. T. N. (2024). Impact of AI on cybersecurity and security compliance. Global Journal of Engineering and Technology Advances, 21(1), 167–184. https://doi.org/10.30574/gjeta.2024.21.1.0193
Garcia, C., & Fearnley, C. J. (2012). Evaluating critical links in early warning systems for natural hazards. Environmental Hazards, 11(2), 123–137. https://doi.org/10.1080/17477891.2011.609877
Glawion, T., De Vries, L., & Mehler, A. (2019). Handle with care! A qualitative comparison of the fragile states index's bottom three countries: Central African Republic, Somalia and South Sudan. Development and Change, 50(2), 277-300.
Goldstone, J. A., Marshall, M. G., & Root, H. (2014). Demographic growth in dangerous places: Concentrating conflict risks. International Area Studies Review, 17(2), 120–133. https://doi.org/10.1177/2233865914535596
Hickok, M. (2020). Lessons learned from AI ethics principles for future actions. AI And Ethics, 1(1), 41–47. https://doi.org/10.1007/s43681-020-00008-1
Hirblinger, A. T., Hansen, J. M., Hoelscher, K., Kolås, Å., Lidén, K., & Martins, B. O. (2022). Digital Peacebuilding: A Framework for Critical–Reflexive Engagement. International Studies Perspectives, 24(3), 265–284. https://doi.org/10.1093/isp/ekac015
Hirblinger, A. T., Wählisch, M., Keator, K., McNaboe, C., Duursma, A., Karlsrud, J., Sticher, V., Verjee, A., Kyselova, T., Kwaja, C. M. A., & Perera, S. (2023). Forum: Making Peace with Un-Certainty: Reflections on the Role of Digital Technology in Peace Processes beyond the Data Hype. International Studies Perspectives, 25(2), 185–225. https://doi.org/10.1093/isp/ekad004
Isagah, T., & Musabila, A. (2020). Recommendations for artificial intelligence implementation in African governments. ACM Digital Library, 82–89. https://doi.org/10.1145/3428502.3428512
Islam Khan, M. Z. (2019). State fragility and international structures: tracing the effects of global war on terrorism (GWoT) (Doctoral dissertation, University of Reading).
Lahmood, F. A., & Mutlak, D. J. (2024). Early warning System means and tools in the African Union and the Organization of American States: an analytical study. Journal of Ecohumanism, 3(4), 1964–1971. https://doi.org/10.62754/joe.v3i4.3730
Larrauri, H. P., & Kahl, A. (2013). Technology for peacebuilding1. Stability International Journal of Security and Development, 2(3), 61. https://doi.org/10.5334/sta.cv
Libertino, A., Alfieri, L., Poletti, L., Testa, N., Masoero, A., Gabellani, S., Massabò, M., Ouma, J., Amdihun, A., Nshimirimana, G., KiriwaiJ, J. M., Ambukeje, L., Rossi, L., Soltesova, K. M., & Beynon, H. (2024). Africa Multi-Hazard Early Warning and Early Action System for Strengthening Resilience to Natural Hazards  EGU General Assembly 2024, Vienna, Austria. https://doi.org/10.5194/egusphere-egu24-5309
Luna-Pla, I. (2024). Network analysis in peace and state building: revealing power elites. Data & Policy, 6. https://doi.org/10.1017/dap.2024.9
Mahmoud, A. (2023). The impact of technology on conflict resolution in Syria. Journal of Conflict Management, 3(1), 13–24. https://doi.org/10.47604/jcm.1920
Malone, I. (2022). Recurrent neural networks for conflict forecasting. International Interactions, 48(4), 614-632.
Mandokhail, N. a. W. K. (2024). The transformative role of artificial intelligence in conflict resolution and peacekeeping. NUST Journal of International Peace and Stability, 104–109. https://doi.org/10.37540/njips.v7i1.166
Masunda, O. C. (2025). Peace Education 4.0: A Curriculum Framework for Africa.
Masunda, O. C. (2024). Artificial Intelligence and Peace Education in Zimbabwe: A Curriculum Perspective. African Journal of Information Science, Fine Arts & Speech Studies (AJISFASS), 1(2).
Mercy, K., Balajee, A., Numbere, T. W., Ngere, P., Simwaba, D., & Kebede, Y. (2023). Africa CDC’s blueprint to enhance early warning surveillance: accelerating implementation of event-based surveillance in Africa. Journal of Public Health in Africa, 14(8), 2827.
Muchlinski, D., Yang, X., Birch, S., Macdonald, C., & Ounis, I. (2020a). We need to go deeper: measuring electoral violence using convolutional neural networks and social media. Political Science Research and Methods, 9(1), 122–139. https://doi.org/10.1017/psrm.2020.32
Muchlinski, D., Yang, X., Birch, S., Macdonald, C., & Ounis, I. (2020b). We need to go deeper: measuring electoral violence using convolutional neural networks and social media. Political Science Research and Methods, 9(1), 122–139. https://doi.org/10.1017/psrm.2020.32
Mueller, H., Rauh, C., & Seimon, B. (2024). Introducing a global dataset on conflict forecasts and news topics. Data & Policy, 6. https://doi.org/10.1017/dap.2024.10
Muggah, R., & Whitlock, M. (2022). Reflections on the evolution of conflict early warning. Stability International Journal of Security and Development, 10(1). https://doi.org/10.5334/sta.857
Musumba, M., Fatema, N., & Kibriya, S. (2021). Prevention is Better than cure: Machine Learning approach to conflict Prediction in Sub-Saharan Africa. Sustainability, 13(13), 7366. https://doi.org/10.3390/su13137366
Nascimento, M. B. D., & Medeiros, S. E. (2022). Defragilization of fragile states: evaluation through a logit regression analysis. Revista Científica Multidisciplinar Núcleo Do Conhecimento, 80–110. https://doi.org/10.32749/nucleodoconhecimento.com.br/social-sciences/regression-analysis
Ntoutsi, E., Fafalios, P., Gadiraju, U., Iosifidis, V., Nejdl, W., Vidal, M. E., ... & Staab, S. (2020). Bias in data?driven artificial intelligence systems—An introductory survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 10(3), e1356.
Obendiek, A. S., & Seidl, T. (2023). The (false) promise of solutionism: Ideational business power and the construction of epistemic authority in digital security governance. Journal of European Public Policy, 30(7), 1305-1329.
Oloyede, J., & Owen, J. (2025). Enhancing Data Quality and Integrity with AI: A Deep Learning Perspective Author: Joseph Oluwaseyi, Fajinmi John. Fajinmi John (February 19, 2025).
O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown Publishing.
Osee, U. B. (2024). Integrating Artificial Intelligence: A Step towards the African Peace and Security Architecture. International Journal of Social Science Humanity & Management Research, 3(05). https://doi.org/10.58806/ijsshmr.2024.v3i5n14
Oyekanmi, O., & Ojo, T. A. (2024). Fourth Industrial Revolution and Women's Peacebuilding Initiatives in Africa. In African Women in the Fourth Industrial Revolution (pp. 254-266). Routledge.
Pashentsev, E. N., & Kolotaev, Y. Y. (2025). Information and communication technologies in political crisis management: resilience, forecasting, and response. Discover Global Society, 3(1), 84.
Peoples, C., & Vaughan-Williams, N. (2020). Critical security studies: An introduction. Routledge.
Pérez, J., & Zhu, X. (2021). Technical challenges in deploying AI for conflict prevention in fragile states. Technology and Global Security, 9(1), 45–63.
Reuter, C., Aldehoff, L., Riebe, T., & Kaufhold, M. A. (2019). IT in Peace, Conflict, and Security Research. In Information Technology for Peace and Security: IT Applications and Infrastructures in Conflicts, Crises, War, and Peace (pp. 11-37). Wiesbaden: Springer Fachmedien Wiesbaden.
Saleh, A. (2011). Broadening the concept of security: Identity and societal security.
Sánchez, A. D. V., & Chamucero, L. E. V. (2017). Education in conflict resolution using ICT. Journal of Cases on Information Technology, 19(2), 29–43. https://doi.org/10.4018/jcit.2017040103
Shahana, A., & Vedagiri, P. (2023). Developing rear-end and side-swipe conflict prediction models for urban signalized intersections under disordered traffic conditions. IATSS Research, 48(1), 1–13. https://doi.org/10.1016/j.iatssr.2023.12.004
Stewart, F., Holdstock, D., & Jarquin, A. (2002). Root causes of violent conflict in developing countriesCommentary: Conflict—from causes to prevention? bmj, 324(7333), 342-345.
TechCrunch. (2020). Nigeria experiments with AI for conflict monitoring and prevention. TechCrunch Report on African Innovation, 22(4), 15–23.
Tellidis, I., & Kappler, S. (2015). Information and communication technologies in peacebuilding: Implications, opportunities and challenges. Cooperation and Conflict, 51(1), 75–93. https://doi.org/10.1177/0010836715603752
Thapaliya, S., & Bokani, A. (2024). Leveraging artificial intelligence for enhanced cybersecurity: insights and innovations. SADGAMAYA., 1(1), 46–52. https://doi.org/10.3126/sadgamaya.v1i1.66888
United Nations. (2019). Kenya’s AI-based conflict early warning systems: innovations and challenges. UN Peace and Security Briefing, 34(4), 1–8.
United Nations Peacekeeping. (2021). AI in peacebuilding: Lessons from South Sudan. UN Peacekeeping Operations Annual Review, 7(2), 29-34.
Van Walraven, K. (1998). Early warning and conflict prevention: Limitations and Possibilities. Martinus Nijhoff Publishers.
Wählisch, M. (2019). Big data, new technologies, and sustainable peace: challenges and opportunities for the UN. Journal of Peacebuilding & Development, 15(1), 122–126. https://doi.org/10.1177/1542316619868984
Whittlestone, J., & Clark, J. (2021). Why and How Governments Should Monitor AI Development. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2108.12427
Woodward, S. L. (2017). The ideology of failed states. Cambridge University Press.
Woldegiorgis, M. M. (2022). Social Structure, Economic Exclusion, and Fragility? Pertinent Theories and Empirics from Africa. In Springer eBooks (pp. 361–381). https://doi.org/10.1007/978-3-031-08713-4_23
Zhang, Q., Xu, L., Huang, J., Yang, T., Jiao, J., Wang, Y., ... & You, X. (2024). Distributed satellite information networks: Architecture, enabling technologies, and trends. arXiv preprint arXiv:2412.12587.
Zoellick, R. B. (2008). Fragile states: Securing development. Survival, 50(6), 67-84.

Downloads
Published
Issue
Section
License
Copyright (c) 2025 Nigerian Journal of Technological Development

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
In accordance with the Copyright Act of 1976, which became effective January 1, 1978, the following statement signed by each author must accompany the manuscript submitted: "I, the undersigned author, transfer all copyright ownership of the manuscript referenced above to the Nigerian Journal of Technological Development, in the event the work is published. I warrant that the article is original, does not infringe upon any copyright or other proprietary right of any third party, is not under consideration by another journal, and has not been published previously. I have reviewed and approved the submitted version of the manuscript and agree to its publication in the Nigerian Journal of Technological Development." A copyright transfer form can be downloaded from the NJTD Website (http://njtd.com.ng/index.php/njtd). Author(s) will be consulted, whenever possible, regarding republication of material. All authors must have access to the data presented, and the authors and sponsor (if applicable) must agree to share original data with the editor if requested.