As disasters become more frequent and complex, the integration of artificial intelligence (AI) with crowdsourced data from social media is emerging as a powerful approach to enhance disaster management and community resilience. This study investigates the potential of AI-enhanced crowdsourcing to improve emergency preparedness and response. A systematic review was conducted using both qualitative and quantitative methodologies, guided by the PRISMA framework, to identify and evaluate relevant literature. The findings reveal that AI systems can effectively process real-time social media data to deliver timely alerts, coordinate emergency actions, and engage communities. Key themes explored include the effectiveness of community participation, AI’s capacity to manage large-scale information flows, and the challenges posed by misinformation, data privacy, and infrastructural limitations.
The results suggest that when strategically implemented, AI-enhanced crowdsourcing can play a critical role in building adaptive and sustainable disaster management frameworks. The paper concludes with practical and policy-level recommendations for integrating these technologies into Pakistan’s disaster management systems
This paper aims to discuss the potential role that artificial intelligence-enhanced crowdsourcing, aided by social media analytics and AI tools, can play in enhancing disaster management in Pakistan by increasing community resilience. This study offers a comprehensive evaluation of how AI-enhanced crowdsourcing through social media can enhance disaster management by increasing community resilience, accelerating disaster preparedness, and identifying significant problems and potential issues related to online disaster cooperation in Pakistan. The research found that combining AI with real-time social media data reduces response time, improves the accuracy rate, and enhances overall response capabilities to a crisis.
Combined with social media, AI-enhanced crowdsourcing offers a robust approach to disaster management. It enhances the adaptability and resilience of injured communities by enabling the real-time collection of information, rapid assessment, and community engagement. This research highlights a critical gap, the limited understanding of how the combined use of AI and social media influences community resilience. It underscores the transformative potential of digital tools to revolutionize disaster management by integrating technology with citizen participation, thereby closing knowledge gaps and facilitating timely, evidence-based decision-making. As disasters become increasingly complex, adopting intelligent, community-centered, and adaptive responses is no longer optional but essential for building safer and more resilient societies. In the case of Pakistan, these findings resonate with broader experiences across the Global South, where similar efforts to harness AI-driven crowdsourcing are reshaping disaster preparedness and response. By situating Pakistan within this comparative context, the study provides valuable insights for policymakers, emergency responders, and researchers seeking to modernize disaster management systems in vulnerable regions worldwide.
Sources:
International Journal of Emergency Medicine
https://intjem.biomedcentral.com/articles/10.1186/s12245-025-01009-9 .
Provided by the IKCEST Disaster Risk Reduction Knowledge Service System
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