Artificial Intelligence for Natural Hazards Risk Analysis: Potential, Challenges, and Research Needs

被引：42

作者：

Guikema, Seth ^{[1
]}

机构：

[1] Univ Michigan, Ind & Operat Engn 1891 IOE Bldg,1205 Beal Ave, Ann Arbor, MI 48109 USA

来源：

RISK ANALYSIS | 2020年 / 40卷 / 06期

基金：

美国国家科学基金会;

关键词：

artificial intelligence; natural hazards; predictive modeling; INFRASTRUCTURE SYSTEMS; VULNERABILITY ANALYSIS; POWER OUTAGES; MODELS; PREDICTION;

D O I：

10.1111/risa.13476

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

Artificial intelligence (AI) methods have seen increasingly widespread use in everything from consumer products and driverless cars to fraud detection and weather forecasting. The use of AI has transformed many of these application domains. There are ongoing efforts at leveraging AI for disaster risk analysis. This article takes a critical look at the use of AI for disaster risk analysis. What is the potential? How is the use of AI in this field different from its use in nondisaster fields? What challenges need to be overcome for this potential to be realized? And, what are the potential pitfalls of an AI-based approach for disaster risk analysis that we as a society must be cautious of?

引用

页码：1117 / 1123

页数：7

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