arXiv cs.AI· Noora Al-Emadi, Muhammad Imran, Yin Yang, Ingmar Weber, Fabjan Lashi, Gaia Rigodanza, Ivana Hajzmanova, Ferda Ofli·· 2 天前AI 评分20
AI 驱动的灾害响应与流离失所监测
AI-Driven Disaster Response and Displacement Monitoring
AI 导读
AI 正被用于灾害响应与冲突监测，通过评估损失与紧急需求、追踪人口流离失所提供数据驱动的解决方案。机器学习算法还分析卫星影像与社会经济数据，用于预测贫困并推动可持续发展。相关研究同时涉及全球天气预报、可再生能源设计以及森林砍伐监测等气候议题。
正文 · 原文
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.
| Subjects: | Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV) |
| Cite as: | arXiv:2610.21482 [cs.AI] |
| (or arXiv:2610.21482v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.21482 arXiv-issued DOI via DataCite (pending registration) |
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| Related DOI: | https://doi.org/10.1145/3737449
DOI(s) linking to related resources |
Submission history
From: Noora Al-Emadi [view email]
[v1]
Thu, 15 Oct 2026 08:22:41 UTC (7,370 KB)
来源：arXiv cs.AI · arxiv.org