Скачать или смотреть AI for Earth and Climate: From understanding processes to effective action

Artificial Intelligence is rapidly transforming Earth and climate sciences, empowering us to understand, monitor, and anticipate complex environmental and societal phenomena at unprecedented scales. In this talk, we explore the role of AI across multiple domains: from mapping crop health and ocean biogeochemistry to estimating air quality and predicting extreme weather events. We show how AI models are used not only for detection and prediction but also for interpretation, thanks to advances in explainable and causal machine learning. As climate risks intensify, AI enables actionable insights, from optimizing urban sustainability to understanding drivers of human displacement and evaluating the impacts of humanitarian interventions. Through examples that combine satellite data, socioeconomic indicators, and causal discovery, we demonstrate how AI contributes to evidence-based policymaking and strengthens our collective capacity to address critical global challenges. This talk argues that the future of climate resilience and sustainable development lies in integrating AI, Earth observation, and domain knowledge, to not only predict outcomes, but to understand and shape them.


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AI for Good is organized by ITU in partnership with over 40 UN Sister Agencies and co-convened with the Government of Switzerland.

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Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.