{"slug":"singapore-mgf-operations-management","id":"AIPT-OBL-0056","permanent_url":"https://aipolicytracker.org/id/AIPT-OBL-0056","title":"Manage data quality, model development and monitoring across the lifecycle","short_title":"Operations management","category":"data_governance","summary":"Covers data lineage and quality, minimising bias in datasets, model explainability, repeatability, robustness, regular tuning and active monitoring after deployment.\n","practical_action":"Maintain data lineage records and a model monitoring plan.","is_binding":false,"applies_from":null,"section":null,"source_reference":"Second edition, Part on operations management","official_source_url":"https://www.pdpc.gov.sg/help-and-resources/2020/01/model-ai-governance-framework","review_status":"verified","confidence_level":"high","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","actors":["provider","deployer"],"sectors":["cross_sector"],"use_cases":["finance_and_credit","generative_ai"],"applicability":[{"description":"Voluntary for any organisation building or deploying AI.","actors":["provider","deployer"],"conditions":null}],"evidence_examples":[{"title":"Data lineage and model monitoring records","description":null,"artifact_type":"record"}],"framework_mappings":[{"framework":"iso_42001","framework_name":"ISO/IEC 42001:2023","reference":"Clause 8 Operation; Annex A data controls","note":"Original editorial mapping.","confidence_level":"medium","is_original":true}],"controls":[{"slug":"accuracy-robustness-security-testing","title":"Accuracy, robustness, fairness and security testing","kind":"technical","relationship":"supports","note":"Repeatability and robustness evidence before release.","confidence_level":"medium","url":"https://aipolicytracker.org/controls/accuracy-robustness-security-testing"},{"slug":"data-governance-and-dataset-documentation","title":"Data governance and dataset documentation","kind":"process","relationship":"satisfies","note":"Data lineage and dataset bias minimisation.","confidence_level":"medium","url":"https://aipolicytracker.org/controls/data-governance-and-dataset-documentation"},{"slug":"post-market-monitoring-and-drift-detection","title":"Post-deployment monitoring and drift detection","kind":"technical","relationship":"satisfies","note":"Active monitoring and regular tuning after deployment.","confidence_level":"medium","url":"https://aipolicytracker.org/controls/post-market-monitoring-and-drift-detection"}],"url":"https://aipolicytracker.org/obligations/singapore-mgf-operations-management","policy":{"slug":"singapore-model-ai-governance-framework","title":"Model AI Governance Framework (Second Edition) and Model AI Governance Framework for Generative AI","status":"voluntary_standard","jurisdiction":"singapore","url":"https://aipolicytracker.org/policies/singapore-model-ai-governance-framework"}}