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A study published in Climate Risk Management reveals that artificial intelligence and machine learning research on extreme heat is overwhelmingly dedicated to forecasting risk rather than helping officials respond.
The analysis highlights a significant imbalance in how the technology is currently deployed for climate adaptation.
The review of existing literature found that 98.4% of the papers focused on prediction, while 59.2% addressed prevention.
In contrast, only 10.4% examined response strategies, 3.2% looked at recovery, and a mere 1.6% covered preparedness.
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