Artificial Intelligence for Natural Hazards Risk Analysis: Potential, Challenges, and Research Needs.
artificial intelligence
natural hazards
predictive modeling
Journal
Risk analysis : an official publication of the Society for Risk Analysis
ISSN: 1539-6924
Titre abrégé: Risk Anal
Pays: United States
ID NLM: 8109978
Informations de publication
Date de publication:
06 2020
06 2020
Historique:
received:
03
09
2019
revised:
08
01
2020
accepted:
09
01
2020
pubmed:
20
5
2020
medline:
14
10
2021
entrez:
20
5
2020
Statut:
ppublish
Résumé
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?
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
1117-1123Subventions
Organisme : National Science Foundation
ID : 1638197
Pays : International
Informations de copyright
© 2020 Society for Risk Analysis.
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