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EU Artificial Intelligence Act ​

Framework ID: EU_AI_ACT | Authority: European Union (Regulation EU 2024/1689) | Version: 2024-08-01


When to use ​

The EU AI Act establishes a risk-based regulatory framework for AI systems placed on or put into service in the EU market. Enable this framework if:

  • Your application uses AI or machine learning components that interact with users or produce consequential outputs in the EU
  • You need to determine whether your AI system is classified as prohibited, high-risk, limited-risk, or minimal-risk (the Risk Classification pass is the entry point)
  • Your organisation develops or deploys general-purpose AI (GPAI) models (e.g. LLMs) and needs to assess Art. 51-56 obligations
  • You want to evidence compliance with the prohibited-practices prohibition that has been in force since 2025-02-02

Key dates:

  • Prohibited practices (Art. 5, RC-03): in force 2025-02-02
  • GPAI model obligations (Art. 51-56): in force 2025-08-02
  • High-risk AI system obligations (Annex III): apply from 2027-08-02

Typical profiles: AI application developers, LLM/foundation model providers, automated decisioning systems (credit scoring, HR, safety systems), EU-market AI vendors.


Controls summary ​

PropertyValue
Total controls37
PartsRC -- Risk Classification (5), HR -- High-Risk Requirements (18), TR -- Transparency Obligations (5), GP -- GPAI Model Obligations (9)
Assessment scopeapp, aud
Scoring modeBinary (compliant / non-compliant)

Conditional applicability: RC controls determine which downstream groups are assessed. RC-02 verdict (high-risk) gates the HR part; RC-04 verdict (gpai-model) gates the GP part. TR controls apply for limited-risk and above. This conditional structure is evaluated by the SWAO engine applies_when logic.


Cross-mapping ​

FrameworkRelationship
GDPRArt. 10 training data maps to GDPR Art. 5 purpose limitation; Art. 22 automated decisions
EU CRAArt. 15 cybersecurity requirements overlap with CRA Annex I
NIS2Art. 9 risk management and Art. 15 cybersecurity align with NIS2 Art. 21
AI 10 PillarsDeep overlap across data governance, model security, and output guardrail pillars

How to enable ​

Add the framework ID to your workspace .swao.yml:

yaml
frameworks:
  - id: EU_AI_ACT