Release, monitoring and change control
The release gate
Before go-live, an accountable owner who did not build the system approves release based on evidence:
- Assessments complete and risks accepted at the right level
- Test results meet acceptance criteria
- Documentation, instructions for use and transparency notices ready
- Human oversight trained and in place
- Monitoring and incident response ready
- Legal steps done (EU conformity assessment, CE marking and database registration for high-risk systems)
Staged rollout (pilot, limited release, then wider) limits harm if something was missed.
Monitoring
- Data drift: input distribution changes.
- Concept drift: the relationship between inputs and outcomes changes (customer behavior shifts).
- Performance and fairness decay over time and across groups.
- Misuse and off-label use.
- Feedback and complaints from users and affected people.
Set thresholds that trigger review, retraining or rollback.
Change control
Retraining, new data sources, new features or a new purpose are changes that go back through assessment proportionate to their risk. Under the EU AI Act a substantial modification can require a new conformity assessment.
Post-market monitoring and incidents
High-risk providers need a post-market monitoring plan and must report serious incidents to authorities, generally within 15 days of becoming aware (shorter for the most serious cases).
Check your understanding
The team wants to retrain a deployed high-risk model on a new data source. What should governance require?
Input data now comes from a new customer segment the model never saw. This is: