Researchers eye AI revolution in natural disaster forecasts

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Geneva: Researchers are increasingly turning to artificial intelligence to improve natural disaster prediction, with new AI models promising to make forecasts faster, more precise, and more valuable for emergency preparedness.

AI systems can evaluate massive amounts of meteorological, climate, and environmental data, enabling experts to find complicated patterns associated with catastrophic events. Researchers are investigating their potential utility in forecasting hurricanes, floods, wildfires, and other dangers, with the goal of delivering earlier alerts and giving communities more time to plan.

The method could also help improve forecasts in areas where monitoring systems and historical data are limited. AI, which processes information far faster than traditional methods, could supplement existing forecasting approaches and assist authorities in making faster judgements during rapidly growing emergencies.

However, scientists warn that AI is not a substitute for traditional forecasting techniques. The accuracy of its forecasts is strongly reliant on the quality and quantity of accessible data, and misleading or poorly understood warnings can have catastrophic implications. Researchers said more testing and collaboration between AI professionals and catastrophe scientists would be required before the technology can be widely implemented.