DR. Rajendra Kumar (Supreme Court India) and Dr. Deepika Rani (District Court Lucknow Allahabad High Court) have posted “Chapter 5 “Revolutionizing Early Warning Systems for Natural Disasters: Integrating AI and ML-Driven Models, Tools, and Platforms” Book “AI and ML in Early Warning Systems for Natural Disasters, 2024” Bentham Science Publication” (Book “AI and ML in Early Warning Systems for Natural Disasters, 2024” Bentham Science Publication) on SSRN. Here is the abstract:
This chapter explores how AI is revolutionizing early warning systems for natural disasters, addressing the critical need for more effective predictive capabilities in the face of increasing disaster frequency and severity. It examines the integration of cutting-edge AI technologies, particularly Large Language Models (LLMs) and Visual Language Models (VLMs), with modern tools such as remote sensing, IoT sensors, and social media analytics for enhanced early warning and risk assessment. The chapter demonstrates how these technologies improve disaster prediction and detection through advanced data analysis, pattern recognition, and real-time monitoring, showcasing their effectiveness through platforms like NVIDIA’s Earth-2, MOBILISE, and Google Flood Hub. While highlighting AI’s transformative potential in early warning systems, the chapter also addresses critical challenges, including data privacy, algorithmic bias, and the need for transparent, explainable AI systems. Through comprehensive analysis and real-world case studies, this chapter contributes valuable insights for developing more robust and adaptive early warning systems, ultimately enhancing disaster preparedness and community resilience.