Issue Models trained on the past get worse as the climate stops resembling it
Summary
The insight names a limit that grows with the problem it is meant to address: models built on historical data struggle with events that have not commonly occurred, so the further the climate departs from its record the more often forecasting meets conditions it cannot anticipate, and complex ecosystems may never yield enough data to model.
Classification
Main topicClimate Change & Adaptation
Region menusGlobal
Impactscope:global
Time horizonnot assigned
Last updated2026-07-29 04:49:52
Evidence 2
- Foresight on AI: Policy considerations Policy Horizons Canada page=84;section=Insight 20: AI could help with climate mitigation / Future 2025 accessed 2026-07-26
- Foresight on AI: Policy considerations Policy Horizons Canada page=84;section=Insight 20: AI could help with climate mitigation / Future 2025 accessed 2026-07-26
Constituent trends 1
Directly linked signals 0
No objects.
Relation types: constitutes
Public id: fm-54bd86ea9da1