Kuglitsch, Monique M.Cox, JonLuterbacher, JürgJamoussi, BilelXoplaki, ElenaThummarukudy, MuraleeRadwan, Golestan SallyYasukawa, SoichiroMcClain, Shanna N.Albayrak, ArifOehmen, DavidWard, Thomas2024-11-142024-11-142024-10-01Kuglitsch, Monique M., Jon Cox, Jürg Luterbacher, Bilel Jamoussi, Elena Xoplaki, Muralee Thummarukudy, Golestan Sally Radwan, et al. “AI to the Rescue: How to Enhance Disaster Early Warnings with Tech Tools.” Nature 634, no. 8032 (October 2024): 27–29. https://doi.org/10.1038/d41586-024-03149-z.https://doi.org/10.1038/d41586-024-03149-zhttp://hdl.handle.net/11603/36936Artificial intelligence can help to reduce the impacts of natural hazards, but robust international standards are needed to ensure best practice.3 pagesen-USThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.Public Domainhttps://creativecommons.org/publicdomain/mark/1.0/SustainabilityPolicyClimate changeText