Present and Future of Artificial Intelligence in Disaster Management

In the field of disaster management, it is imperative to recognize the progress made in the study of natural disasters, particularly in terms of methodology and technology. Artificial intelligence is being utilized in various fields and industries. The field of study includes various disciplines such as geospatial analysis, robotics, technology for drones, machine learning, telecommunications and network services, remote sensing, and environmental impact assessment. The incorporation of technology across various sectors is essential for accelerating societal change. Recent technological advancements have greatly influenced studying societal responses to risks and catastrophes. Researchers in the social sciences have utilized various methodologies and approaches to study natural disasters from the viewpoints of their specific disciplines, as well as transdisciplinary and interdisciplinary domains. The researchers used quantitative and qualitative methodologies for data collection and analysis. This study provides a comprehensive analysis of the various applications of AI currently utilized throughout different stages of disaster management. The statement above highlights the substantial influence of AI in different fields, emphasizing its ability to provide quick and efficient responses characterized by increased speed, precision, and readiness. Utilizing remote sensing and geographic information systems in disaster management improves planning and analysis capabilities, facilitates situational awareness, and accelerates recovery efforts. There is a widely accepted agreement among individuals regarding the significant importance of GIS and RS in managing emergencies. In mitigating the impacts of natural disasters, governmental entities can enhance the efficiency of decision-Making by employing visualization tools, satellite imagery, and AI analyses.