Singapore Model AI Governance Framework
January 2019 (v1), updated 2020. Supplemented by AI Verify framework (2022).
medium risk framework
Private sector organizations in Singapore deploying AI, especially for decisions affecting individuals. Voluntary but widely adopted as best practice in ASEAN.
Overview
Singapore's Model AI Governance Framework provides detailed and practical guidance for private sector organizations deploying AI. Developed by PDPC (Personal Data Protection Commission), it emphasizes human-centric AI and provides implementation guides with practical examples.
Key Requirements
- Internal governance structures for AI accountability
- Determining the appropriate level of human involvement for AI decisions
- Operations management: data lineage, model documentation, and version control
- Customer relationship management and transparency
- AI system risk categorization (probability of harm × severity)
- Addressing bias through diverse training data and testing
- Explainability for AI decisions affecting individuals
- AI lifecycle documentation from design to decommission
Implementation Guidance
- 1Download and self-assess using Singapore's AI Verify Toolkit
- 2Map your AI systems to the framework's risk dimensions
- 3Use the implementation guide case studies for sector-specific guidance
- 4Align with ISO 42001 for certification alongside this framework
Penalties for Non-Compliance
No direct penalties — voluntary framework. Non-compliance may affect PDPA (data protection) obligations.
Framework Details
Short Name
Singapore AI Framework
Jurisdiction
Singapore
Status
Risk Level
Enforcement Date
January 2019 (v1), updated 2020. Supplemented by AI Verify framework (2022).
Affected Organizations
Private sector organizations in Singapore deploying AI, especially for decisions affecting individuals. Voluntary but widely adopted as best practice in ASEAN.
Tags
This is educational guidance only. Always consult qualified legal counsel for compliance decisions affecting your organization.