Map of the AI Act
Model that stops learning after deployment
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example
Model that stops learning after deployment
An insurer deploys a trained model that ranks claims by complexity. After deployment the model learns nothing new; the supplier retrains only periodically in a controlled release, so its behaviour is entirely stable between releases.
relates to
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