Revolutionizing the future: unleashing the potential of generative AI ChatGPT in disaster management

Incorporating generative artificial intelligence (AI) models, particularly ChatGPT, into resilience marks a big step forward in how communities may adapt and survive in the face of various difficulties. ChatGPT applications, such as tracking, mapping, geospatial analysis, remote sensing techniques, robotics, drone technology, machine learning, and environmental impact analysis, are key technological elements driving societal change. These advancements have important implications for studying how societies respond to hazards and disasters. Scholars in the field of social science have employed diverse technologies and methodologies to investigate risks and catastrophes from disciplinary, transdisciplinary, and interdisciplinary perspectives. ChatGPT's exceptional language processing and reasoning abilities have aroused widespread attention and protracted arguments in various domains. Articles on ChatGPT's role in disaster management from 2021 to 2024 were selected and reviewed. Through the systematic review methodology of three research engines, Scopus, Web of Science, and Science Direct, researchers explore the role of ChatGPT in disaster management. This study looks into the possibilities of ChatGPT's capabilities for disaster mitigation, preparedness, response, and recovery. This study looks at ChatGPT's data collection capabilities and its ability to disseminate disaster prevention science to a larger audience. The study also describes ChatGPT's support in three stages: before, during, and after a crisis. Furthermore, it highlights the existing limitations and constraints of using ChatGPT's and recommends potential avenues for future research in mitigating the impact of natural disasters.