Date: 5 December 2023
Time: 11:00 - 12:00 GST
Location: Global Stocktake Pavillion
Description:
Large gaps exist in the geographical coverage of early warning systems. To fill these gaps by 2027, the United Nations Secretary-General launched the Early Warnings for All (EW4All) Action Plan. Case studies show that AI can contribute to the development and scaling of early warning systems as well as other climate resilience and disaster risk reduction (DRR) tools. For instance, AI-based tools can support sustainable development through optimized farming and smart energy usage. However, AI also presents technical, ethical, and legal challenges. This panel explores the state of AI in climate resilience and DRR; looking at how AI is currently being used, what opportunities it presents, and what challenges must be addressed.
