Connecting the world and beyond

AI for Early Warnings for All Group

​​​​​​​​​​​​​​​​​​​​​​​​​​​​Early Warnings for All
World Meteorological Organization (WMO)
United Nations Office for Disaster Risk Reduction
International Telecommunication Union (ITU)
International Federation of Red Cross
Background

AI is mentioned as one of the outputs of Pillar 3 in the EW4All Executive Action Plan​, launched in November 2022: “Leverage artificial intelligence to support the development of 'client' profiles and scale the dissemination of action alerts." AI is also featured under Pillar 1's strategic outcome seven on Innovation for Risk Knowledge; however, developments in AI provide opportunities to transform the practice of disaster management and support the implementation of all Pillars in the Early Warning System (EWS) value chain.

For example, within the context of Disaster Risk Knowledge (EW4All Pillar 1), AI can be leveraged to contextualize disaster risk information comprehensively to facilitate well-informed and equitable decision-making. AI also holds the capability to enhance the capacity for Detection, Observations, Monitoring, Analysis, ​and Forecasting of Hazards (EW4All Pillar 2). Warning Dissemination and Communication (EW4All Pillar 3) will see AI optimize information delivery with personalized "client" profiles, ensuring timely, comprehensible, and actionable insights. In terms of Preparedness and Response Capabilities (EW4All Pillar 4), AI can offer new information and communication resources to help people respond to warnings.
It is essential to recognize the potential risks associated with the integration of AI in the EW4All Initiative. These risks encompass issues such as bias and fairness, privacy concerns, reliability, accountability, dependency and resilience, and the potential for unintended consequences. However, these risks can be effectively mitigated through careful design and the implementation of well-defined rules and protocols. By proactively addressing these challenges, it is possible to ensure that the benefits of AI are harnessed while upholding ethical standards and safeguarding the integrity of the EW4All Initiative.

The potential of AI to accelerate processes and solve problems is immense. The use of AI in the international community is still in development and the Secretary General of the United Nations is now convening a multi-stakeholder High-Level Advisory Body for Artificial Intelligence that will frame much of the United Nations' approach to this area of work.​


Flagship report and tool on AI for Early Warning Systems






Leveraging AI to Enhance Multi-Hazard Early Warning Systems (MHEWS)

Launched during the
AI for Early Warnings for All: From innovation to impact​ workshop​ at the AI for Good Global Summit 2026.

The report, develope​d by the AI for EW4All Group,  outlines AI's potential to address existing gaps in early warning systems and positions it as a strategic enabler that drives scalable, responsible solutions across the early warning value chain when guided by human expertise and collaboration. 

The interactive report features practical case studies that can also be seen from the AI Solutions Catalogue for Early Warning Systems.



Launched ​together with the AI Report​ during the AI for Early Warnings for All: From innovation to impact​ workshop​ at the AI for Good Global Summit 2026.

​The catalogue showcases AI-enabled solutions that support the EW4All initiative across hazards and regions. It helps to connect AI innovators with governments, practitioners, and partners looking for implementable tools and services. 

It features filters and search function that lets users explore solutions by EW4All Pillar, innovation type, technical readiness, application context, hazard, and keywords.

Useful resources

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FEATURED SOLUTION: AI-Powered Extreme Weather Advisor in Bangladesh

With support from the Group, this submission to the GenAI for Good Challenge 2025​ aims to strengthen the resilience of drought-impacted farmer communities in Bangladesh by deploying an AI-powered extreme weather advisor — in the form of a virtual assistant.​

Learn more about this solution here.​


AI Solutions Spotlight

Discover insights and innovations from the AI Group of the EW4All Initiative. This space showcases expert presentations from organizations and researchers driving advancements in AI, data science, and disaster risk management to enhance global early warning systems.

Learn about the AI solutions for EW4All here.​


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​​​​AI for Early Warnings for All Innovation Challenge 2025: Bridging gaps with AI solutions​ - Top Four Finalists

Explore cutting-edge, AI-powered early warning solutions from the four finalist teams of the AI for EW4All Innovation Challenge: Bridging gaps with AI solutions.

Learn about the selected AI solutions here.


AI for EW4All country pilots help​s build the Early Warning Connectivity Map

The Early Warning Connectivity Map​ (EWCM) is being developed in collaboration with Microsoft, Planet and the Institute for Health Metrics of the University of Washington. This to​ol will help countries monitor and map the number of people who are not covered by digital networks. It uses AI to analyze satellite imagery and produce high-resolution population density maps to visualize connectivity based on the ITU Disaster Connectivity Map​​.

Learn more about ITU's Connectivity Maps.​

AI Group Terms of Reference


The AI Group’s primary role will be to identify real-world needs and match them with appropriate solutions, ensuring that efforts are implemented effectively
The EW4All AI Group has the following objectives:



Key Partners

The key partners and organizations of the AI Group are:​

Collaboration with the Global Initiative

This Information Note details the collaboration between the Global Initiative on “Resilience to Natural Hazards through AI” and the AI for EW4All Group.