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Research PaperResearchia:202610.16041

AI-Driven Disaster Response and Displacement Monitoring

Noora Al-Emadi

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 ...

Submitted: October 16, 2026Subjects: Energy; Renewable Energy & AI

Description / Details

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.


Source: arXiv:2610.21482v1 - http://arxiv.org/abs/2610.21482v1 PDF: https://arxiv.org/pdf/2610.21482v1 Original Link: http://arxiv.org/abs/2610.21482v1

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Submission Info
Date:
Oct 16, 2026
Topic:
Renewable Energy & AI
Area:
Energy
Comments:
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