Artificial Intelligence For Food Security Governance In Conflict-affected Regions: A Conceptual Analysis Of The Gaza Strip And Yemen
Auteurs : Laredj Medjahed Nassima .
Résumé
This study explores the role of artificial intelligence in strengthening food security governance in conflict-affected regions through a comparative conceptual analysis of the Gaza Strip and Yemen. It examines how AI-driven technologies can improve food system monitoring, risk prediction, and humanitarian decision-making in contexts marked by prolonged conflict and institutional fragility. The study also discusses key challenges to AI adoption, including data limitations, governance constraints, ethical concerns, and inadequate digital infrastructure. The findings suggest that AI can enhance food security governance when integrated into robust institutional frameworks and used to complement, rather than replace, human expertise and policy interventions.
Mots clés
Artificial Intelligence , Food Security Governance, Ethical Challenges, Humanitarian Technology
