A systematic review of trustworthy artificial intelligence applications in natural disasters
Iraqi University · Imam Ja’afar Al-Sadiq University · +10 more institutions
Abstract
Artificial intelligence (AI) holds significant promise for advancing natural disaster management through the use of predictive models that analyze extensive datasets, identify patterns, and forecast potential disasters. These models facilitate proactive measures such as early warning systems (EWSs), evacuation planning, and resource allocation, addressing the substantial challenges associated with natural disasters. This study offers a comprehensive exploration of trustworthy AI applications in natural disasters, encompassing disaster management, risk assessment, and disaster prediction. This research is underpinned by an extensive review of reputable sources, including Science Direct (SD), Scopus, IEEE Xplore…
Citation impact
- FWCI
- 215.50
- Percentile
- 100%
- References
- 247
Authors
10Topics & keywords
- Natural disaster
- Computer science
- Emergency management
- Data science
- Scopus
- Warning system
- Big data
- Artificial intelligence
- Climate action