How AI is used to warn of hurricane impacts

#weather #technology #ai #artificialintelligence
In a groundbreaking initiative, the National Weather Service (NWS) is utilizing artificial intelligence (AI) to translate critical weather alerts and information into multiple languages, making them accessible to individuals with limited English proficiency.
The primary objective of the project, hosted at weather.gov/translate, is to bridge the communication gap and provide vital weather information to traditionally underserved and vulnerable populations. By leveraging AI, the NWS has significantly reduced the time needed for translations, allowing forecasters to focus more on improving forecasts and decision support services.
Here's the breakdown of how the new AI model will work.
AI-Powered Translation: Before adopting lilt for translations, the NWS had been using machine learning models for translating products into Spanish. The integration of AI has expedited the translation process and enhanced accuracy.
Efficiency Gains: AI translation has led to a substantial reduction in the time forecasters spend on translating critical weather information. This efficiency allows forecasters to concentrate on delivering timely and accurate forecasts.
Expanding Accessibility: The project has extended Spanish translations to multiple weather forecast offices, including those in the Carolinas. Future plans involve adding Vietnamese and simplified Chinese translations, broadening the project's reach.
User Feedback: The project is currently in an experimental phase, and user feedback is actively encouraged. Users can submit feedback regarding wording, phrasing, or any confusing elements through email ([e-mail]) or a dedicated feedback form available at weather.gov/translate/feedback.html.
Continuous Improvement: The NWS emphasizes a commitment to continuous improvement based on user feedback. Plans include refining translations, expanding language offerings, and adding forecast offices in response to community needs.
Roadmap and Milestones: The project is collecting feedback until September 29, 2024. The roadmap includes expanding the number of languages offered, incorporating additional forecast offices, and refining the translation process.
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AI however, will not warn us when we end up without personal knowledge and understanding of our professions and expertise.