Refugee Resettlement & AI-Powered Resource Allocation Optimizing social services for displaced populations

Abstract

The global refugee crisis continues to pose significant challenges for governments and humanitarian organizations in ensuring equitable and efficient resettlement. Traditional approaches to resource allocation often struggle with inefficiencies, delays, and biases, limiting refugees' access to essential services such as housing, healthcare, and employment. Artificial Intelligence (AI) presents a transformative opportunity to optimize resource distribution and enhance decision-making processes in refugee resettlement. This study explores the role of AI-powered solutions in streamlining resource allocation, predicting refugee needs, and facilitating social integration. Drawing on interdisciplinary research and case studies, we examine how AI-driven systems can enhance efficiency, fairness, and transparency while addressing ethical and human rights concerns. The findings highlight the potential of AI to revolutionize humanitarian assistance, offering policy recommendations to ensure responsible AI implementation in refugee support systems.