Singapore AI Governance Framework
Singapore Model AI Governance Framework
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Framework Domains (24)
Assurance
| Code | Title |
|---|---|
| MGF-19 | AI Verify Self-Assessment and Testing |
Content Provenance
| Code | Title |
|---|---|
| MGF-13 | Provenance and Watermarking of AI-Generated Content |
Data Management
| Code | Title |
|---|---|
| MGF-10 | Data Quality and Provenance for Training |
Explainability
| Code | Title |
|---|---|
| MGF-6 | Explainability of AI Decisions |
Fairness
| Code | Title |
|---|---|
| MGF-9 | Fairness and Bias Assessment |
Generative AI
| Code | Title |
|---|---|
| MGF-12 | GenAI Output Verification and Safe Use |
Governance
| Code | Title |
|---|---|
| MGF-1 | Internal Governance Structures and Measures |
Human Oversight
| Code | Title |
|---|---|
| MGF-3 | Human Oversight and Decision Boundaries |
Incident Response
| Code | Title |
|---|---|
| MGF-14 | Incident and Adverse Event Response |
Monitoring
| Code | Title |
|---|---|
| MGF-15 | Continuous Monitoring of Model Performance |
Operations
| Code | Title |
|---|---|
| MGF-4 | Operations Management for AI Systems |
Procurement
| Code | Title |
|---|---|
| MGF-17 | Procurement Controls for AI Solutions |
Quality Assurance
| Code | Title |
|---|---|
| MGF-7 | Repeatability and Reproducibility of AI Outputs |
Risk Management
| Code | Title |
|---|---|
| MGF-2 | AI System Risk Assessment and Classification |
Robustness
| Code | Title |
|---|---|
| MGF-8 | Robustness and Adversarial Resilience |
Singapore AI Governance Framework: AI Accountability & Oversight
Human oversight and accountability for AI (Singapore AI Governance Framework)
| Code | Title |
|---|---|
| SG-AIGF-16 | Human oversight mechanisms |
| SG-AIGF-17 | Accountability framework for AI systems |
| SG-AIGF-18 | AI incident reporting and response |
| SG-AIGF-19 | Regulatory compliance for AI |
| SG-AIGF-20 | Third-party AI audit requirements |
Singapore AI Governance Framework: AI Data Governance
Governing data used in AI systems (Singapore AI Governance Framework)
| Code | Title |
|---|---|
| SG-AIGF-11 | Training data quality and governance |
| SG-AIGF-12 | Data bias assessment and mitigation |
| SG-AIGF-13 | Data provenance and lineage tracking |
| SG-AIGF-14 | Privacy protection in AI training data |
| SG-AIGF-15 | Data retention for AI models |
Singapore AI Governance Framework: AI Risk Management
Managing risks associated with AI systems (Singapore AI Governance Framework)
| Code | Title |
|---|---|
| SG-AIGF-01 | AI risk identification and assessment |
| SG-AIGF-02 | AI system categorization by risk level |
| SG-AIGF-03 | Bias detection and mitigation |
| SG-AIGF-04 | AI model validation and testing |
| SG-AIGF-05 | Ongoing AI risk monitoring |
Singapore AI Governance Framework: AI Safety & Security
Ensuring AI system safety and security (Singapore AI Governance Framework)
| Code | Title |
|---|---|
| SG-AIGF-21 | AI system robustness and resilience |
| SG-AIGF-22 | Adversarial attack protection |
| SG-AIGF-23 | AI model security and integrity |
| SG-AIGF-24 | Safe AI deployment procedures |
| SG-AIGF-25 | AI system lifecycle management |
Singapore AI Governance Framework: AI Transparency & Explainability
Ensuring transparency in AI decision-making (Singapore AI Governance Framework)
| Code | Title |
|---|---|
| SG-AIGF-06 | AI system documentation requirements |
| SG-AIGF-07 | Algorithmic transparency measures |
| SG-AIGF-08 | Explainability requirements for high-risk AI |
| SG-AIGF-09 | User notification of AI interactions |
| SG-AIGF-10 | Record-keeping for AI decisions |
Supply Chain
| Code | Title |
|---|---|
| MGF-11 | Third-Party AI Component Due Diligence |
Training
| Code | Title |
|---|---|
| MGF-16 | Workforce Training on AI Ethics and Safe Use |
Transparency
| Code | Title |
|---|---|
| MGF-5 | Stakeholder Communication and Disclosure |
Trust
| Code | Title |
|---|---|
| MGF-18 | External Communication and Trust Engagement |
Your Compliance Coverage
If you comply with Singapore AI Governance Framework, you already cover:
IEEE 7000
30%
13 controls mapped
Compare →ISO 42001
30%
13 controls mapped
Compare →Brazil AI Framework
30%
13 controls mapped
Compare →+ 591 more: EU AI Act (30%), Australia AI Ethics Framework (30%)
See all 594 mapped frameworks ↓Maps to 594 other frameworks
Frequently Asked Questions
What is Singapore AI Governance Framework?
Singapore AI Governance Framework is a compliance framework from Singapore with 24 domains and 44 controls. Singapore Model AI Governance Framework It is used by organisations to establish and maintain compliance with industry standards and regulatory requirements.
How many controls does Singapore AI Governance Framework have?
Singapore AI Governance Framework has 44 controls organised across 24 domains. The largest domains are Singapore AI Governance Framework: AI Accountability & Oversight (5 controls), Singapore AI Governance Framework: AI Data Governance (5 controls), Singapore AI Governance Framework: AI Risk Management (5 controls). Each control defines specific requirements that organisations must implement to achieve compliance.
What frameworks does Singapore AI Governance Framework map to?
Singapore AI Governance Framework maps to 594 other compliance frameworks. The top mapping partners are IEEE 7000 (30% coverage), ISO 42001 (30% coverage), Brazil AI Framework (30% coverage). Use our comparison tool to explore control-level mappings between frameworks.
How do I get started with Singapore AI Governance Framework compliance?
Start your Singapore AI Governance Framework compliance journey by running a self-assessment on our platform to identify your current compliance posture. Our AI advisory can answer specific questions about Singapore AI Governance Framework requirements, and cross-framework mapping helps you leverage existing controls from other frameworks you may already comply with. Create a free account to access all 44 controls and track your progress.
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