AI ACT COMPLIANCE FRAMEWORK

PREAMBLE

This AI Act Compliance Framework for [AI System Name] adopted by [Company] on [Date] ensures compliance with EU Regulation 2024/1689 (AI Act). Legal Framework: Risk-based regulation; high-risk systems require conformity assessments, documentation, human oversight.

System Name: [e.g., Content Moderation AI]
Risk Level: ☐ Prohibited ☐ High-Risk ☐ Limited Risk ☐ Minimal Risk

High-Risk Categories (REQUIRE COMPLIANCE per Art. 6):

2.1 Technical Documentation Required:

2.2 Transparency (User Disclosures): Users informed [AI is being used / decision made by AI] before interaction per Art. 13.

3.1 Conformity Assessment: Third-party testing + documentation review OR internal assessment + notified body review.

3.2 Human Oversight (Art. 14): Humans must review AI decisions with [authority to override / ability to understand reasoning].

3.3 Bias & Fairness Testing (Art. 15): Regular testing for gender, racial, age bias. Target accuracy: [>95%] across all demographic groups.

3.4 Data Governance: Training data documented, tested for representativeness, bias-checked per Art. 10.

STRICT PROHIBITION - NO COMPLIANCE POSSIBLE:

5.1 Serious Incident Threshold: Incident causing death, injury, discrimination, significant property damage = MUST report to authorities within [15 days].

5.2 Continuous Monitoring: Monitor system performance post-deployment. If accuracy degrades >5%, investigate + document.

5.3 Record Keeping: Maintain incident logs for [3 / 5 years].

Fines (Art. 84): Up to EUR 30 Million or 6% global revenue for high-risk violations. Up to EUR 10 Million or 2% for transparency violations.

7.1 Notified Body Registration: High-risk AI systems MUST be assessed by notified body per EU AI Act Articles 48-51. Notified body:

• Reviews technical documentation for compliance
• Performs audit + evaluation of risk management system
• Verifies data governance + bias testing practices
• Issues conformity assessment or rejection notice

7.2 CE Marking: Upon successful assessment, system receives CE marking (mandatory visual display per Art. 48). Marking includes: CE logo + notified body identification number + year of marking.

8.1 Continuous Monitoring: After deployment, Developer SHALL:

• Monitor system performance in real-world conditions vs. testing benchmarks
• Track accuracy degradation (trigger investigation if >5% drift)
• Log user complaints, edge-case failures, safety incidents
• Maintain complaint register with remediation actions taken
• Document all system updates + retraining activities

8.2 Serious Incident Reporting: Within 15 days of discovery, report serious incidents to national authorities if:

9.1 Documentation Retention: Maintain technical documentation + compliance records for [3 / 5 years] minimum per jurisdiction:

• Risk management logs + mitigation measures implemented
• Training/validation/test data logs (anonymized)
• Bias testing results + accuracy benchmarks
• System modifications + version history
• Incident reports + corrective actions
• User complaints + responses

9.2 Authority Access: Upon request, provide full audit trail to national AI authorities, data protection authorities, notified bodies within [10 business days].

EU AI Act Enforcement Schedule:

Action Items for this System:

Law: EU Regulation 2024/1689 (AI Act) | Applies to all AI systems deployed in EU
Enforcement: National AI authorities + DPA (data protection) + Product safety authorities
Appeals: Administrative remedy with national regulator, then EU level appeals