The article discusses the potential of artificial intelligence (AI) to help cities better prepare for and respond to natural disasters. It highlights the increasing frequency and severity of extreme weather events due to climate change, and the need for cities to adapt. AI can analyze vast amounts of data from various sources, such as weather patterns, infrastructure maps, and population density, to predict the impact of disasters and identify vulnerable areas. Machine learning models can simulate different scenarios and provide insights for disaster planning and resource allocation. The article cites examples of AI being used to forecast flooding, detect wildfires, and optimize evacuation routes. However, it also notes challenges like data quality, algorithmic bias, and the need for human oversight. Overall, the article presents AI as a powerful tool for enhancing disaster resilience in cities, but emphasizes the importance of responsible and ethical implementation.
Source: https://time.com/7171445/ai-natural-disaster-cities/