AI Snips
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Stable World Principle
- Complex algorithms thrive in stable environments where data consistently predicts the future.
- Human intelligence excels in uncertain, unstable environments where adaptability is key.
Google Flu Trends Failure
- Google Flu Trends, using big data, failed to predict the 2009 swine flu.
- A simple algorithm based on recent data outperformed Google's complex model.
Explainable AI
- Favor simple, transparent algorithms in unstable situations like recidivism prediction.
- These perform as well as black box models and promote explainability.