Cross-Framework Mapping

EU AI ActvsAutomotive SPICE (ASPICE) v4.0 — Process Assessment Model

See exactly how EU AI Act controls map to Automotive SPICE (ASPICE) v4.0 — Process Assessment Model. Pre-computed mappings, identified gaps, and coverage analysis.

29
Controls Mapped
24
Gaps Found
13%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

EU AI Act maps to Automotive SPICE (ASPICE) v4.0 — Process Assessment Model with 13% coverage across 7 directly mapped controls. Analysis of 53 EU AI Act controls identifies 46 compliance gaps — primarily concentrated in High-risk AI.

Source: TheArtOfService Knowledge Graph | 53 controls analysed | 769 frameworks | 815K+ cross-framework mappings

Control Mappings

Showing 20 of 29 mapped controls across 3 domains. Sign up to explore all 815K+ mappings across 769 frameworks.

High-risk AI(10 mappings)

Art. 17Quality Management System4 targets
MLE.1Machine Learning Requirements Analysis
MLE.1Machine Learning Requirements Analysis
MLE.3Machine Learning Training
MLE.3Machine Learning Training
Art. 26Obligations of Deployers of High-Risk AI Systems2 targets
ACQ.4Supplier Monitoring
ACQ.4Supplier Monitoring
Art. 8Compliance with the Requirements4 targets
MLE.1Machine Learning Requirements Analysis
MLE.1Machine Learning Requirements Analysis
MLE.3Machine Learning Training
MLE.3Machine Learning Training

General-purpose AI(4 mappings)

Art. 53Obligations for Providers of General-Purpose AI Models4 targets
MLE.1Machine Learning Requirements Analysis
MLE.1Machine Learning Requirements Analysis
MLE.3Machine Learning Training
MLE.3Machine Learning Training

EU AI Act: AI Risk Management(6 mappings)

EUAI-01AI risk identification and assessment5 targets
MLE.1Machine Learning Requirements Analysis
MLE.1Machine Learning Requirements Analysis
MLE.2Machine Learning Architecture
MLE.2Machine Learning Architecture
SUP.11ML Data Management Support
EUAI-02AI system categorization by risk level
MLE.1Machine Learning Requirements Analysis

+9 more mappings

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Related Comparisons

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What are the key differences between EU AI Act and Automotive SPICE (ASPICE) v4.0 — Process Assessment Model?

EU AI Act has 53 controls across its framework, while Automotive SPICE (ASPICE) v4.0 — Process Assessment Model covers 31 controls. Direct mapping analysis identifies 7 overlapping controls (13% coverage). The frameworks diverge most significantly in High-risk AI, where 16 EU AI Act controls have no direct Automotive SPICE (ASPICE) v4.0 — Process Assessment Model equivalent.

How many controls map between EU AI Act and Automotive SPICE (ASPICE) v4.0 — Process Assessment Model?

Of 53 total EU AI Act controls, 7 map directly to Automotive SPICE (ASPICE) v4.0 — Process Assessment Model controls — representing 13% coverage. The remaining 46 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping EU AI Act to Automotive SPICE (ASPICE) v4.0 — Process Assessment Model?

46 EU AI Act controls have no direct equivalent in Automotive SPICE (ASPICE) v4.0 — Process Assessment Model. The highest concentration of gaps is in High-risk AI with 16 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 EU AI Act and Automotive SPICE (ASPICE) v4.0 — Process Assessment Model?

The domain with the highest gap count is High-risk AI (16 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.