Map of the AI Act
Model that stops learning after deployment
The map shows what hangs off this object: who carries the duty, what it calls for, what it is evidenced by and what it rests on. Click an object and it becomes the new centre.
On a small screen the map reads as a path rather than as a network.
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.