AI For Crisis Communication: A Revolutionary Strategy To Disaster Management

https://doi.org/10.5281/zenodo.17773294

Abstract

The advancement of technical methods and research approaches in the field of hazards and disaster studies is considered a pivotal aspect of disaster management. Technologies such as artificial intelligence (AI) are increasingly employed in areas like tracking, mapping, geospatial analysis, remote sensing, robotics, drone operations, machine learning, telecommunications, hotspot detection, urban planning for smart cities, transportation, and environmental impact assessments. These technological tools play a significant role in shaping societal responses to hazards and disasters, influencing research across social sciences. This paper explores how AI is currently utilized in all four phases of disaster management and underscores its importance in enhancing the efficiency, precision, and preparedness of responses. The integration of Geographic Information Systems (GIS) and Remote Sensing (RS) further strengthens disaster management by improving planning, analysis, situational awareness, and recovery efforts. GIS and RS are widely recognized as essential tools in supporting disaster management, with visualization techniques, satellite imagery, and AI-driven analyses that enable governments to make prompt, informed decisions in the wake of natural disasters.