Data governance and quality: AI obligations

Practical requirements extracted from policy instruments, with the source article, the actors they bind, evidence examples and original framework mappings. Legal requirements are marked; everything else is voluntary guidance.

jurisdiction: singapore × category: data_governance ×

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Voluntary guidance data governance Singapore

Manage data quality, model development and monitoring across the lifecycle

Singapore Model AI Governance Framework · Second edition, Part on operations management

Covers data lineage and quality, minimising bias in datasets, model explainability, repeatability, robustness, regular tuning and active monitoring after deployment.

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