Neural Network
Room Q
Workshop

AI innovation for early warnings for all: Bridging gaps, saving lives

In person
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    • Date
    9 July 2025
    Timeframe
    09:00 - 12:15 CEST
    Duration
    3h 15 minutes
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    Workshop overview: This workshop, hosted by the AI Sub-Group of the Early Warning for All (EW4All) initiative, 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 four finalists of the AI for EW4All Innovation Challenge, a showcase of country pilots, and a discussion session focused on the role of AI in advancing the EW4All Initiative.

    Workshop 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 finalists, AI innovators, and stakeholders involved in early warning systems.
    • Highlight pilot projects that demonstrate the real-world application of AI solutions in enhancing early warning capabilities in different countries.

    • Presentation of AI pilot initiatives presenting results from AI Sub-group of EW4All members. Discussion on the gaps, scalability and impact of these pilots in enhancing disaster preparedness and response.

    Presentations from four finalist teams from the AI for EW4All Innovation Challenge, showcasing innovative AI-driven early warning solutions, followed by a discussion on next steps for piloting.

    A decision-centered AI platform designed to support anticipatory flood action, helping governments and responders act early and save lives.

    Speaker(s)

    A generative AI-powered early warning service tailored for Sudan, piloting inclusive communication tools that bridge information gaps in emergencies.

    Speaker(s)

    An AI-driven system delivering localized warnings to climate-vulnerable communities, particularly those underserved by traditional forecasting models.

    Speaker(s)

    Reflections and insights on next steps for piloting these solutions under the AI sub-group.

    This session highlights real-world applications from Google, Microsoft AI for Good Lab, Planet and IHME of how AI is being used to strengthen early warning systems. It features cutting-edge initiatives - from identifying connectivity gaps to flood forecasting at scale - showcasing how AI, satellite imagery, and partnerships are transforming risk communication and climate resilience.

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