The Rise of AI in Weather and Climate Information and its Impact on Global Inequality

2026/03/31 by Amirpasha Mozaffari, Amanda Duarte, Lina Teckentrup +8
Physics and Astronomy · Computer Science · #physics.ao-ph #cs.AI #cs.LG

paper · pdf

arxiv created 2026/07/29 · arxiv updated 2026/07/30

Abstract

AI development's current trajectory risks automating and amplifying the North-South divide in the global climate information system. Frontier models are built almost exclusively in the Global North, and this inequality continues through inputs, processes, and outputs, from biased training data to unrepresentative validation, disproportionately affecting vulnerable regions. Addressing these disparities requires a Climate Digital Public Infrastructure, evaluation metrics centring well-being, and knowledge co-production to foster resilience rather than inequity.

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