This side event will explore the potential of Artificial Intelligence (AI) in mitigating climate risks and associated impacts. Topics to be discussed include the use of machine learning for early warning signals and forecast-based finance triggers, bridging weather and impact forecasts with AI, AI in socio-ecological systems, combining social media and geoscientific data, and the accountability and fairness of AI methods. Concrete success stories and failures of anticipatory action and capacity building will be discussed. The goal is to bring together experts from diverse backgrounds to exchange ideas, identify common ground, and work towards a shared objective in using AI for climate risk mitigation.

Name of organizing project/institution:

Knowledge Action Network on Emergent Risks and Extreme Events (RISK-KAN) (, and the ELLIS Unit Jena ( within the ELLIS network (

Organizers: Vitus Benson and Markus Reichstein - Max-Planck-Institute for Biogeochemistry, Germany

Targeted audience: Scientists and decision-makers



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