人工智能对早期预警系统的作用:现状,适用性,防护和前进的途径
Timothy Tiggeloven1,2, Samira Pfeiffer3, Alessia Matanó1
1Institute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
iScience
|November 24, 2025
概括
人工智能 (AI) 增强了地球科学分析,用于有效的早期预警系统 (EWS). 本研究确定了在所有人的早期预警框架内人工智能应用的差距,呼吁负责任的AI开发.
科学领域:
- 地球科学 地球科学 地球科学
- 人工智能应用程序 人工智能应用程序
- 自然危害分析 分析自然危害
背景情况:
- 人工智能 (AI) 在地球科学中越来越多地用于分析复杂的自然灾害.
- 有效的预警系统 (EWS) 对于及时提供风险信息,以保护生命和基础设施至关重要.
- 人工智能融入"所有人早期预警" (EW4All) 框架的四大支柱尚未得到充分探索.
研究的目的:
- 系统地审查早期预警系统 (EWS) 中使用的AI方法.
- 检查AI在EWS中的挑战和机遇.
- 讨论在EWS中负责任地使用AI的指导原则.
主要方法:
- 系统的文献审查.
- 对自然危险EWS应用的AI方法的分析.
- 评估AI在EW4All框架支柱中的作用.
主要成果:
- 确定了EWS内人工智能知识,应用和政策的关键差距.
- 他强调了人工智能改善风险评估,预测和沟通的机会.
- 强调需要负责任的人工智能开发,以确保包容性和可访问性.
结论:
- 需要协调努力,为EWS开发负责任的AI框架.
- 人工智能可以显著增强EWS,支持到2027年为所有人提供早期警告的倡议.
- 专注于以人为中心,包容性和可访问的AI解决方案至关重要.
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