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International Journal of Advanced Research in Education and TechnologY(IJARETY)
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Article

TITLE The Role of Generative AI in Disaster Management and Humanitarian Response: Applications in Synthetic Data Modeling, Early Warning Systems, and Crisis Communication Automation
ABSTRACT This study explores the transformative potential of generative artificial intelligence (GenAI) in disaster management and humanitarian response, focusing on synthetic data modeling, early warning systems, and crisis communication automation. Employing a mixed-methods approach, including literature synthesis, simulation-based analysis using GANs and LLMs, and evaluation of hypothetical yet realistic datasets from global disaster databases, the research reveals that GenAI enhances predictive accuracy by up to 25% in early warnings and reduces communication delays by 40% during crises. Key findings highlight GenAI's efficacy in generating diverse synthetic scenarios for rare events, improving model robustness in data-scarce environments, and automating empathetic messaging for stakeholder engagement. The study concludes that while GenAI offers substantial benefits for resilience-building, ethical integration is essential to mitigate biases and ensure equitable access. These insights contribute to theoretical advancements in AI-driven humanitarian frameworks and practical guidelines for policymakers, urging interdisciplinary collaboration to scale implementations globally.
AUTHOR Saad Khan Vice President at JP Morgan Chase, Solution Architect and Engineering Manager, Dallas, Texas, USA
VOLUME 11
DOI DOI:10.15680/IJARETY.2024.1103064
PDF 64_The Role of Generative AI in Disaster Management and Humanitarian Response Applications in Synthetic Data Modeling, Early Warning Systems, and Crisis Communication Automation.pdf
KEYWORDS
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