AI-Driven Disaster Response and Displacement Monitoring

Abstract:ARTIFICIAL INTELLIGENCE (AI) has demonstrated its potential across a wide range of humanitarian tasks, offering scalable and data-driven solutions to some of the world's most pressing challenges. For instance, in addressing climate change, AI-powered models are being used for faster and more accurate global weather forecasting, control and design of renewable energy, and monitoring deforestation. Machine learning algorithms analyze satellite imagery and socioeconomic data to predict poverty and promote sustainable development. AI has also transformed disaster response and conflict monitoring, providing innovative solutions for assessing damage and urgent needs and tracking displacement.

Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)

arXiv:2610.21482 [cs.AI]

(or arXiv:2610.21482v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2610.21482 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

https://doi.org/10.1145/3737449 Focus to learn more DOI(s) linking to related resources

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