mlsanityData to 7 Oct 2026

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

arXiv 2603.05710 ↗First posted 5 Mar 2026physics.ao-ph cs.AI cs.LGcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 26 of its 95 references that are in the map. First posted on arXiv 5 Mar 2026.

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References · 26

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14 more
  1. 2024Bias Amplification: Large Language Models as Increasingly Biased Mediacited by 12
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  14. 2025SAFE: A Novel Approach to AI Weather Evaluation through Stratified Assessments of Forecasts over Earthcited by 1

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