Singapore AI Governance Framework
Singapore Model AI Governance Framework
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Framework Domains (5)
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 |
Maps to 580 other frameworks
Frequently Asked Questions
What is Singapore AI Governance Framework?
Singapore AI Governance Framework is a compliance framework from Singapore with 5 domains and 25 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 25 controls organised across 5 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 580 other compliance frameworks. The top mapping partners are IEEE 7000 (52% coverage), ISO 42001 (52% coverage), Brazil AI Framework (52% 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 25 controls and track your progress.
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