Cross-Framework Mapping

Australia AI Ethics FrameworkvsGLI-33 — Gaming Laboratories International Event Wagering Systems

See exactly how Australia AI Ethics Framework controls map to GLI-33 — Gaming Laboratories International Event Wagering Systems. Pre-computed mappings, identified gaps, and coverage analysis.

14
Controls Mapped
11
Gaps Found
28%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

Australia AI Ethics Framework maps to GLI-33 — Gaming Laboratories International Event Wagering Systems with 28% coverage across 7 directly mapped controls. Analysis of 25 Australia AI Ethics Framework controls identifies 18 compliance gaps — primarily concentrated in Australia AI Ethics Framework: AI Transparency & Explainability.

Source: TheArtOfService Knowledge Graph | 25 controls analysed | 693 frameworks | 819K+ cross-framework mappings

Control Mappings

Showing 14 of 14 mapped controls across 4 domains. Sign up to explore all 819K+ mappings across 693 frameworks.

Australia AI Ethics Framework: AI Risk Management(9 mappings)

AU-AI-01AI risk identification and assessment2 targets
38.1051(a)General Security Requirements for DCMs
39.18(a)General Security Requirements for DCOs
AU-AI-02AI system categorization by risk level3 targets
DSPF-INFO-1Information Classification
GLI33-3.4Risk Management Controls
TISAX-IS-03Third-Party Risk Management
AU-AI-04AI model validation and testing2 targets
GLI33-3.4Risk Management Controls
TISAX-IS-03Third-Party Risk Management
AU-AI-05Ongoing AI risk monitoring2 targets
GLI33-3.4Risk Management Controls
TISAX-IS-03Third-Party Risk Management

Australia AI Ethics Framework: AI Data Governance(2 mappings)

AU-AI-15Data retention for AI models2 targets
GLI33-4.3Data Protection and Encryption
TSSR-INFO-1Network Data Protection

Australia AI Ethics Framework: AI Accountability & Oversight(1 mappings)

AU-AI-19Regulatory compliance for AI
GLI33-5.2Regulatory Reporting

Australia AI Ethics Framework: AI Safety & Security(2 mappings)

AU-AI-21AI system robustness and resilience2 targets
DSPF-INFO-1Information Classification
PSPF-INFO-2Security Classification System

Related Comparisons

Other Australia AI Ethics Framework comparisons

Other GLI-33 — Gaming Laboratories International Event Wagering Systems comparisons

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What are the key differences between Australia AI Ethics Framework and GLI-33 — Gaming Laboratories International Event Wagering Systems?

Australia AI Ethics Framework has 25 controls across its framework, while GLI-33 — Gaming Laboratories International Event Wagering Systems covers 46 controls. Direct mapping analysis identifies 7 overlapping controls (28% coverage). The frameworks diverge most significantly in Australia AI Ethics Framework: AI Transparency & Explainability, where 5 Australia AI Ethics Framework controls have no direct GLI-33 — Gaming Laboratories International Event Wagering Systems equivalent.

How many controls map between Australia AI Ethics Framework and GLI-33 — Gaming Laboratories International Event Wagering Systems?

Of 25 total Australia AI Ethics Framework controls, 7 map directly to GLI-33 — Gaming Laboratories International Event Wagering Systems controls — representing 28% coverage. The remaining 18 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping Australia AI Ethics Framework to GLI-33 — Gaming Laboratories International Event Wagering Systems?

18 Australia AI Ethics Framework controls have no direct equivalent in GLI-33 — Gaming Laboratories International Event Wagering Systems. The highest concentration of gaps is in Australia AI Ethics Framework: AI Transparency & Explainability with 5 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 Australia AI Ethics Framework and GLI-33 — Gaming Laboratories International Event Wagering Systems?

The domain with the highest gap count is Australia AI Ethics Framework: AI Transparency & Explainability (5 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.