EU AI Act Mapping — Articles → System Law Conditions
This page provides a technical correspondence between selected provisions of the EU Artificial Intelligence Act and the structural conditions defined by the ARAYUN_173 System Law.
This document is not legal advice. It serves as an architectural reference for auditors, regulators, and system designers.
Purpose
The EU AI Act defines regulatory obligations. ARAYUN_173 defines the technical conditions under which those obligations can be evaluated, enforced, and audited.
This mapping clarifies where regulatory requirements depend on system-level properties rather than documentation or policy statements.
Article Mapping
| EU AI Act Article | Regulatory Focus | Structural Limitation | ARAYUN_173 System Law Condition |
|---|---|---|---|
| Article 9 Risk Management |
Lifecycle risk identification and mitigation | Reactive risk controls cannot detect internal incoherence before output generation. | Causal coherence must be enforced at system level, enabling risks to be detected prior to output. |
| Article 13 Transparency |
Interpretability of system outputs | Post-hoc explanations produce narratives, not verifiable reasoning paths. | Outputs must be traceable to reproducible symbolic and causal derivations. |
| Article 15 Accuracy & Robustness |
System reliability under expected conditions | Accuracy metrics do not detect logical contradiction or drift. | Robustness is defined as coherence stability under perturbation, not output similarity. |
| Article 50 Generative AI Transparency |
Disclosure of AI-generated content | Labeling addresses content origin, not reasoning origin. | Transparency is defined as causal traceability, not metadata disclosure. |
Conformity Assessment Implication
Without an enforceable system law:
- documentation substitutes evidence,
- policies substitute metrics,
- explanations substitute reproducibility.
With ARAYUN_173:
- auditability becomes intrinsic,
- compliance becomes technically evaluable,
- certification becomes structurally scalable.
Structural Position
ARAYUN_173 is not a regulatory framework. It defines the technical preconditions under which regulatory compliance can be meaningfully assessed.
This mapping is resolved through the binding terminology of the Glossary for Auditors (2026) and, in case of ambiguity or conflict, through the Canonical Reference Layer.
System References
System Definition · Audit Protocol · Evidence · Canonical Reference Layer · EU AI Act Series
Referenced research and technical specifications are publicly archived. Evidence