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AI for Early Warnings for All Workshop: Bridging gaps with AI solutions

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This workshop, hosted by the AI Sub-Group of the Early Warnings for All (EW4All) initiative, and part of the AI for Good Global Summit 2025​, will serve as a platform to highlight AI driven innovations that enhance early warning systems for disasters and extreme weather events. The session will feature presentations from the winners of the ​AI for Early Warnings for All Innovation Challenge: Bridging gaps with AI solutions​​, a showcase of country pilots, and discussion session focused on the role of AI in advancing the EW4All initiative.​​ 

Register here​

​NOTE: Upon registration, you may select the "general pass" button to gain access to this physical workshop.

​​Date and Time:

  • 09 July 2025, 09:00 AM - 12:15 PM CEST

Location:

  • Room T, Palexpo, Rte François-Peyrot 30, 1218 Le Grand-Saconnex, Switzerland​ (in-person)


Objectives:

  • Showcase AI solutions developed through the AI for EW4All Innovation 
  • Challenge and their potential impact on early warning systems
  • Provide a platform for knowledge exchange between challenge winners, AI innovators, and stakeholders involved in early warning sys​tems 
  • Highlight pilot projects that demonstrate the real-world application of AI solutions in enhancing early warning capabilities in different countries 
  • Deliver an engaging, thought-provoking discussion to inspire innovative thinking on AI for early warning systems.

Expected Outcomes:

  • Increased awareness of AI-driven early warning solutions and their impact 
  • Stronger collaboration between AI innovators, governments, UN and humanitarian organisations 
  • Identification of key enablers and challenges for scaling AI solutions in early warning systems 
  • Next steps for integrating AI solutions into EW4All country pilots and ensuring AI innovations contribute effectively to the global goal of protecting every person with an early warning system

Visit the workshop's page at the AI for Good Global Summit 2025 website. Click here.