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🧠 AI🔴 BearishImportance 7/10
The Rise of AI in Weather and Climate Information and its Impact on Global Inequality
arXiv – CS AI|Amirpasha Mozaffari, Amanda Duarte, Lina Teckentrup, Stefano Materia, Gina E. C. Charnley, Lluis Palma, Eulalia Baulenas Serra, Dragana Bojovic, Paula Checchia, Aude Carreric, Francisco Doblas-Reyes|
🤖AI Summary
Research reveals that AI development in climate and weather modeling is concentrated in the Global North, creating systematic performance gaps that disproportionately affect vulnerable regions. The study warns that current AI trajectory risks amplifying global inequality in climate information systems through biased data, unrepresentative validation, and dominant knowledge forms.
Key Takeaways
- →AI foundation models for climate science are almost exclusively developed in the Global North due to infrastructure inequality.
- →Historical data bias leads to systematic AI performance gaps that most affect vulnerable regions in the Global South.
- →Climate impact modeling suffers from data sparsity and unrepresentative validation that can drive misleading interventions.
- →Large language models in climate science risk reinforcing existing biases through dependence on dominant textual knowledge forms.
- →Solutions require shifting from model-centric to data-centric development and establishing Climate Digital Public Infrastructure.
#ai#climate-modeling#global-inequality#data-bias#infrastructure#weather-prediction#digital-divide#climate-science#foundation-models
Read Original →via arXiv – CS AI
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