What are the limitations of AI in disaster prediction?
An example of an AI chatbot conversation about AI's challenges in predicting disasters.
What are the limitations of AI in disaster prediction?
AI has several limitations in disaster prediction, including data quality, model accuracy, and the unpredictability of natural events.
Can AI predict earthquakes or tsunamis?
Currently, AI can analyze patterns and historical data, but predicting exact times and locations of earthquakes or tsunamis remains highly uncertain.
What kind of data does AI need for better predictions?
AI requires high-quality, real-time data from various sources, including satellite imagery, weather reports, and geological surveys.
How does AI compare to traditional methods in disaster prediction?
AI can process vast amounts of data faster than traditional methods, but it still relies on human expertise for interpretation and validation.
What advancements are being made to improve AI in this field?
Researchers are focusing on enhancing algorithms, integrating diverse data sources, and improving collaboration between AI and human experts.
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