Strategic Governance of AI Models in Earth Science
physics.soc-ph, cs.AI, cs.LG, physics.ao-ph
Submitted: 2026-10-01
Updated: 2026-10-01
Sources
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- Unsolved Problems in ML Safety
- LoRA: Low-Rank Adaptation of Large Language Models
- Toward Mechanistic Interpretability of an AI Foundation Model Fine-Tuned for Atmospheric Chemistry
- Evaluating the Predictability of Selected Weather Extremes with Aurora, an AI Weather Forecast Model
- Datamodels: Predicting Predictions from Training Data
- PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models
- Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
- AIFS -- ECMWF's data-driven forecasting system
- Global reanalysis from observations alone with machine learning
- Towards mechanistic understanding in a data-driven weather model: internal activations reveal interpretable physical features
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