Singapore Model AI Governance Framework (2nd Edition)
Singapore's Model AI Governance Framework (2nd Edition, 2020), published by the Infocomm Media Development Authority (IMDA) and Personal Data Protection Commission (PDPC), provides detailed guidance for organisations deploying AI responsibly. It translates ethical AI principles into implementable practices across four areas: internal governance, determining AI decision-making model, operations management, and stakeholder interaction. Accompanied by the AI Verify testing framework for verifying AI governance claims.
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Framework Domains (8)
Determining AI Decision-Making Models
| Code | Title |
|---|---|
| AIGF-2.1 | Human-in-the-Loop |
| AIGF-2.2 | Human-on-the-Loop |
| AIGF-2.3 | Human-out-of-the-Loop |
| AIGF-2.4 | Risk-Severity Assessment |
Internal Governance Structures and Measures
| Code | Title |
|---|---|
| AIGF-1.1 | Risk Management and Internal Controls |
| AIGF-1.2 | AI Ethics Governance Body |
| AIGF-1.3 | Data Management |
| AIGF-1.4 | Algorithm Design and Training |
Internal governance
| Code | Title |
|---|---|
| MAIGF-IG-01 | Internal AI Governance Structures and Measures |
| MAIGF-IG-02 | Personnel Capability and Training for AI Oversight |
| MAIGF-IG-03 | AI System Inventory and Risk Register |
| MAIGF-IG-04 | Ethics Review and Escalation Procedures |
Operations Management
| Code | Title |
|---|---|
| AIGF-3.1 | Minimising Bias in Data |
| AIGF-3.2 | Explainability |
| AIGF-3.3 | Repeatability and Traceability |
| AIGF-3.4 | Regular Tuning and Monitoring |
Operations management
| Code | Title |
|---|---|
| MAIGF-OM-01 | Data Quality and Lineage for AI |
| MAIGF-OM-02 | Model Selection and Justification |
| MAIGF-OM-03 | Bias Testing and Mitigation |
| MAIGF-OM-04 | Robustness and Adversarial Testing |
| MAIGF-OM-05 | Model Monitoring in Production |
| MAIGF-OM-06 | Version Control and Audit Trail |
| MAIGF-OM-07 | Third-Party AI Component Governance |
Risk levels
| Code | Title |
|---|---|
| MAIGF-RL-01 | Risk Classification of AI Decisions |
| MAIGF-RL-02 | Human-in-the-Loop Determination |
| MAIGF-RL-03 | Mitigation Measures Aligned to Risk Level |
| MAIGF-RL-04 | Periodic Re-assessment of AI Risk |
Stakeholder Interaction and Communication
| Code | Title |
|---|---|
| AIGF-4.1 | General Transparency |
| AIGF-4.2 | Accessible Communication |
| AIGF-4.3 | Feedback Mechanisms |
| AIGF-4.4 | Disclosure of AI Use |
Stakeholder interaction
| Code | Title |
|---|---|
| MAIGF-SI-01 | Transparency to Individuals on AI Use |
| MAIGF-SI-02 | Explainability of AI Decisions |
| MAIGF-SI-03 | Channels for Review, Appeal, and Feedback |
| MAIGF-SI-04 | Communication of AI Capabilities and Limits |
| MAIGF-SI-05 | Stakeholder Engagement on AI Strategy |
Your Compliance Coverage
If you comply with Singapore Model AI Governance Framework (2nd Edition), you already cover:
ASEAN Guide on AI Governance and Ethics
86%
31 controls mapped
Compare →OECD AI Principles
11%
4 controls mapped
Compare →Japan AI Guidelines
11%
4 controls mapped
Compare →+ 207 more: IEEE 7000 (11%), Singapore AI Governance Framework (11%)
See all 210 mapped frameworks ↓Maps to 210 other frameworks
Frequently Asked Questions
What is Singapore Model AI Governance Framework (2nd Edition)?
Singapore Model AI Governance Framework (2nd Edition) is a compliance framework from Singapore with 8 domains and 36 controls. Singapore's Model AI Governance Framework (2nd Edition, 2020), published by the Infocomm Media Development Authority (IMDA) and Personal Data Protection Commission (PDPC), provides detailed guidance for organisations deploying AI responsibly. It translates ethical AI principles into implementable practices across four areas: internal governance, determining AI decision-making model, operations management, and stakeholder interaction. Accompanied by the AI Verify testing framework for verifying AI governance claims. It is used by organisations to establish and maintain compliance with industry standards and regulatory requirements.
How many controls does Singapore Model AI Governance Framework (2nd Edition) have?
Singapore Model AI Governance Framework (2nd Edition) has 36 controls organised across 8 domains. The largest domains are Operations management (7 controls), Stakeholder interaction (5 controls), Determining AI Decision-Making Models (4 controls). Each control defines specific requirements that organisations must implement to achieve compliance.
What frameworks does Singapore Model AI Governance Framework (2nd Edition) map to?
Singapore Model AI Governance Framework (2nd Edition) maps to 210 other compliance frameworks. The top mapping partners are ASEAN Guide on AI Governance and Ethics (86% coverage), OECD AI Principles (11% coverage), Japan AI Guidelines (11% coverage). Use our comparison tool to explore control-level mappings between frameworks.
How do I get started with Singapore Model AI Governance Framework (2nd Edition) compliance?
Start your Singapore Model AI Governance Framework (2nd Edition) 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 Model AI Governance Framework (2nd Edition) 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 36 controls and track your progress.
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