Manage data quality, model development and monitoring across the lifecycle
Under Singapore Model AI Governance Framework, Second edition, Part on operations management
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Open official source
What does it require?
Covers data lineage and quality, minimising bias in datasets, model explainability, repeatability, robustness, regular tuning and active monitoring after deployment.
Practical action
Maintain data lineage records and a model monitoring plan.
Who does it apply to?
Voluntary for any organisation building or deploying AI.
- Sectors
- Cross-sector / all sectors
Evidence examples
- Data lineage and model monitoring records (record)
Framework mappings
Original editorial crosswalks. They cite clause numbers only and reproduce no standard text; confidence reflects how direct the mapping is.
| Framework | Reference | Note | Confidence |
|---|---|---|---|
| ISO/IEC 42001:2023 | Clause 8 Operation; Annex A data controls | Original editorial mapping. | medium |
Similar obligations in other instruments
- Apply data governance and quality criteria to training, validation and testing data — EU AI Act, European Union
Informational only, not legal advice. Verify every claim against the linked official sources and consult qualified counsel before acting.