AI for Early Warnings: From Innovation to Impact at COP31

Building on the work of the AI for Early Warnings for All (EW4All) Group, convened by the International Telecommunication Union (ITU), this moderated panel discussion will demonstrate AI enhanced forecasting, data fusion for decisions, targeted risk communication and country partnerships across the full EW4All value cycle​. At COP31​, the question is how these capabilities work together so an accurate risk insight becomes an authoritative warning and timely protective action.. 

Panelists will present their AI solutions and engage discussion focused on country needs, partnerships and the conditions required to scale. The joint ITU, WMO, UNDRR and IFRC report​ and the AI for EW4All Group provide the evidence and partnership platform. 

Taking place on 16 November 2026, 17:00 - 18:00 (UTC+3) at the COP31 Azerbaijan Pavilion, the session will help participants to identify concrete country needs, potential partners and the conditions required to move from pilots to reliable national services.

​Moderator: Ms Rosie McDonald, Climate Change Officer, ITU​​

EW4All works across four pillars: disaster risk knowledge; detection, observation, monitoring and forecasting; warning dissemination and communication; and preparedness to respond. The AI for EW4All Group identifies country needs, matches them with solutions and develops pilots and capacity across the pillars. The flagship tool, AI Solutions Catalogue for Early Warning Systems, allows users to explore solutions by pillar, hazard, application and technical readiness.