Cross-Framework Mapping

Singapore Model AI Governance Framework (2nd Edition)vsSingapore AI Governance Framework

See exactly how Singapore Model AI Governance Framework (2nd Edition) controls map to Singapore AI Governance Framework. Pre-computed mappings, identified gaps, and coverage analysis.

12
Controls Mapped
24
Gaps Found
11%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

Singapore Model AI Governance Framework (2nd Edition) maps to Singapore AI Governance Framework with 11% coverage across 4 directly mapped controls. Analysis of 36 Singapore Model AI Governance Framework (2nd Edition) controls identifies 32 compliance gaps — primarily concentrated in Operations management.

Source: TheArtOfService Knowledge Graph | 36 controls analysed | 720 frameworks | 432K+ cross-framework mappings

Control Mappings

Showing 12 of 12 mapped controls across 2 domains. Sign up to explore all 432K+ mappings across 720 frameworks.

Internal Governance Structures and Measures(9 mappings)

AIGF-1.1Risk Management and Internal Controls3 targets
SG-AIGF-03Bias detection and mitigation
SG-AIGF-04AI model validation and testing
SG-AIGF-05Ongoing AI risk monitoring
AIGF-1.2AI Ethics Governance Body3 targets
SG-AIGF-21AI system robustness and resilience
SG-AIGF-23AI model security and integrity
SG-AIGF-24Safe AI deployment procedures
AIGF-1.3Data Management3 targets
SG-AIGF-11Training data quality and governance
SG-AIGF-13Data provenance and lineage tracking
SG-AIGF-15Data retention for AI models

Operations Management(3 mappings)

AIGF-3.2Explainability3 targets
SG-AIGF-21AI system robustness and resilience
SG-AIGF-23AI model security and integrity
SG-AIGF-24Safe AI deployment procedures

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What are the key differences between Singapore Model AI Governance Framework (2nd Edition) and Singapore AI Governance Framework?

Singapore Model AI Governance Framework (2nd Edition) has 36 controls across its framework, while Singapore AI Governance Framework covers 44 controls. Direct mapping analysis identifies 4 overlapping controls (11% coverage). The frameworks diverge most significantly in Operations management, where 7 Singapore Model AI Governance Framework (2nd Edition) controls have no direct Singapore AI Governance Framework equivalent.

How many controls map between Singapore Model AI Governance Framework (2nd Edition) and Singapore AI Governance Framework?

Of 36 total Singapore Model AI Governance Framework (2nd Edition) controls, 4 map directly to Singapore AI Governance Framework controls — representing 11% coverage. The remaining 32 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping Singapore Model AI Governance Framework (2nd Edition) to Singapore AI Governance Framework?

32 Singapore Model AI Governance Framework (2nd Edition) controls have no direct equivalent in Singapore AI Governance Framework. The highest concentration of gaps is in Operations management with 7 unmapped controls. These gaps represent areas where additional controls, policies, or documentation must be created to achieve compliance with both frameworks.

Which control domains have the most gaps between Singapore Model AI Governance Framework (2nd Edition) and Singapore AI Governance Framework?

The domain with the highest gap count is Operations management (7 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.

This platform provides educational compliance tools, not legal, regulatory, or professional compliance advice. Cross-framework mappings are AI-assisted interpretations and do not reproduce or replace official standards. Framework names and trademarks belong to their respective owners. Consult qualified professionals for your specific compliance requirements. See our Terms of Service.