Author
Listed:
- Tatenda Gambiza
(Department of Social Work, Bindura University of Science Education)
- Livingson Moyo
(Department of Social Work and Applied Psychology, Zimbabwe Ezekiel Guti University)
- Telson Chisosa
(Department of Social Work, Women’s University of Africa)
- Daniel Masungwa
(Department of Social Work and Applied Psychology, Zimbabwe Ezekiel Guti University)
Abstract
The study examined the potential of artificial intelligence in strengthening early warning and conflict response systems within the Southern African Development Community (SADC) region. The research was motivated by the increasing complexity of conflict dynamics and the limitations associated with traditional early warning systems, including delayed information processing, fragmented data systems, weak predictive capabilities, and slow institutional responses. The study sought to assess the effectiveness of existing early warning systems, evaluate the potential of artificial intelligence in improving conflict detection and prediction, and develop a framework for integrating artificial intelligence into regional conflict prevention systems. The study adopted a qualitative research approach guided by Complex Adaptive Systems Theory. Purposive sampling was used to select ten participants comprising SADC officials, early warning analysts, artificial intelligence specialists, and academic researchers. Data were collected through semi-structured interviews and documentary analysis, while thematic analysis was used to analyse the findings. The findings revealed that although institutional structures for early warning systems exist within the SADC region, their effectiveness remains constrained by fragmented data systems, delayed information processing, and weak institutional coordination. The study established that artificial intelligence technologies such as machine learning and predictive analytics possess significant potential to improve predictive accuracy, real-time monitoring, and integration of multidimensional datasets within conflict prevention systems. However, implementation remains limited by inadequate technological infrastructure, insufficient technical expertise, ethical concerns, and weak regulatory frameworks. The study concluded that artificial intelligence can significantly strengthen predictive governance and proactive conflict prevention within the SADC region if supported by harmonised digital infrastructure, institutional capacity building, ethical governance frameworks, and collaborative regional cooperation.
Suggested Citation
Tatenda Gambiza & Livingson Moyo & Telson Chisosa & Daniel Masungwa, 2026.
"Harnessing Artificial Intelligence for Early Warning and Conflict Response Systems in the SADC Region,"
International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 10(6), pages 1680-1693, June.
Handle:
RePEc:bcp:journl:v:10:y:2026:i:6:p:1680-1693
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