气候变化领域集成服务门户(CCPortal): Artificial Intelligence: A new era for spatial modelling and interpreting climate-induced hazard assessment

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DOI	10.1016/j.gsf.2024.101815
	Artificial Intelligence: A new era for spatial modelling and interpreting climate-induced hazard assessment
	Dikshit, Abhirup; Pradhan, Biswajeet; Matin, Sahar S.; Beydoun, Ghassan; Santosh, M.; Park, Hyuck-Jin; Maulud, Khairul Nizam Abdul
发表日期	2024
ISSN	1674-9871
起始页码	15
结束页码	4
卷号	15 期号:4
英文摘要	The application of Artificial Intelligence in various fields has witnessed tremendous progress in the recent years. The field of geosciences and natural hazard modelling has also benefitted immensely from the introduction of novel algorithms, the availability of large quantities of data, and the increase in computational capacity. The enhancement in algorithms can be largely attributed to the elevated complexity of the network architecture and the heightened level of abstraction found in the network's later layers. As a result, AI models lack transparency and accountability, often being dubbed as black box models. Explainable AI (XAI) is emerging as a solution to make AI models more transparent, especially in domains where transparency is essential. Much discussion surrounds the use of XAI for diverse purposes, as researchers explore its applications across various domains. With the growing body of research papers on XAI case studies, it has become increasingly important to address existing gaps in the literature. The current literature lacks a comprehensive understanding of the capabilities, limitations, and practical implications of XAI. This study provides a comprehensive overview of what constitutes XAI, how it is being used and potential applications in hydrometeorological natural hazards. It aims to serve as a useful reference for researchers, practitioners, and stakeholders who are currently using or intending to adopt XAI, thereby contributing to the advancements for wider acceptance of XAI in the future. (c) 2024 China University of Geosciences (Beijing) and Peking University. Published by Elsevier B.V. on behalf of China University of Geosciences (Beijing). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
英文关键词	Artificial Intelligence; Explainable AI (XAI); Climate change; Spatial modelling; Natural hazards
语种	英语
WOS研究方向	Geology
WOS类目	Geosciences, Multidisciplinary
WOS记录号	WOS:001218707100001
来源期刊	GEOSCIENCE FRONTIERS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/301570
作者单位	University of Technology Sydney; Universiti Kebangsaan Malaysia; Sejong University; China University of Geosciences; University of Adelaide; Kochi University
推荐引用方式 GB/T 7714	Dikshit, Abhirup,Pradhan, Biswajeet,Matin, Sahar S.,et al. Artificial Intelligence: A new era for spatial modelling and interpreting climate-induced hazard assessment[J],2024,15(4).
APA	Dikshit, Abhirup.,Pradhan, Biswajeet.,Matin, Sahar S..,Beydoun, Ghassan.,Santosh, M..,...&Maulud, Khairul Nizam Abdul.(2024).Artificial Intelligence: A new era for spatial modelling and interpreting climate-induced hazard assessment.GEOSCIENCE FRONTIERS,15(4).
MLA	Dikshit, Abhirup,et al."Artificial Intelligence: A new era for spatial modelling and interpreting climate-induced hazard assessment".GEOSCIENCE FRONTIERS 15.4(2024).