AI for Earth and Sustainability Science | AI for Good Discovery - Distributional robustness for climate change

Detection and attribution (D&A) of climate change aims to understand the causal links between external drivers of the climate system, such as greenhouse gases or aerosols, and observed changes in climate variables, including temperature and precipitation. Changes in these external factors can affect the reliability of conclusions drawn from supervised machine learning and statistical learning methods. This talk approaches climate change detection from the perspective of robustness to interventions, and more specifically, distributional robustness to shifts in the external forcings. The goal is to develop models that generalize well to changes in external conditions. It is shown that explicitly accounting for such interventions leads to more reliable detection of key climate drivers from temperature observations, even under strong variations in other forcings. Overall, the results highlight the importance of distributional robustness for climate change detection in the presence of complex and evolving external influences. Speakers: Eniko Székely Senior Data Scientist Moderators: Maria Piles Associate Professor, Universitat de València AI for Good is identifying innovative AI applications, building skills and standards, and advancing partnerships to solve global challenges. AI for Good is organized by ITU in partnership with over 50 UN partners and co-convened with the Government of Switzerland. Join the Neural Network! 👉https://aiforgood.itu.int/neural-network/ The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to solve global challenges using AI. 🔴 Watch the latest #AIforGood videos! https://www.youtube.com/c/AIforGood/videos 📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good-blog/ 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ X: https://twitter.com/AIforGood LinkedIn Page: https://www.linkedin.com/company/26511907 LinkedIn Group: https://www.linkedin.com/groups/8567748 Instagram: https://www.instagram.com/aiforgood Facebook: https://www.facebook.com/AIforGood Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.