• EU AI Act compliance roadmap development
• High-risk system conformity assessment preparation
• GPAI training data transparency automation
• Notified body coordination and liaison
• Multi-jurisdiction compliance strategy
The European Union's Artificial Intelligence Act establishes comprehensive requirements for AI system documentation and transparency. AgentFacts provides complete coverage through its universal metadata framework.
The EU AI Act (Regulation 2024/1689) requires AI system providers and deployers to maintain comprehensive metadata documentation across multiple dimensions: technical specifications, risk management, training data provenance, performance monitoring, and regulatory compliance.
AgentFacts was designed with regulatory compliance as a core requirement. The 10-category universal metadata framework provides 100% coverage of EU AI Act documentation obligations without requiring additional systems or schemas.
Key Insight
Every EU AI Act metadata requirement maps directly to existing AgentFacts categories. Organizations implementing AgentFacts for general purposes automatically establish the foundation for regulatory compliance.
The EU AI Act employs a risk-based classification system determining applicable requirements:
Prohibited AI practices including certain forms of social scoring, subliminal manipulation, and real-time biometric identification in public spaces.
AgentFacts Mapping: Category 3 (Classification) with risk_category: "unacceptable"
Systems in critical infrastructure, employment, education, law enforcement, migration management, and administration of justice requiring comprehensive documentation and conformity assessment.
AgentFacts Mapping: All 10 categories with enhanced compliance metadata
Systems requiring transparency obligations including chatbots, emotion recognition, and AI-generated content.
AgentFacts Mapping: Category 6 (Compliance) transparency_obligations
Foundation models with additional transparency requirements for training data, capabilities documentation, and systemic risk assessment for high-capability models.
AgentFacts Mapping: Category 2 (Baseline Model) + Category 8 (Supply Chain)
The EU AI Act mandates 11 distinct categories of documentation and transparency metadata. The following table demonstrates complete mapping to AgentFacts categories:
| EU AI Act Requirement | AgentFacts Category | Primary Fields |
|---|---|---|
| System Classification | Category 3: Classification | risk_category, deployment_scope |
| Technical Documentation | Category 2: Baseline Model Category 4: Capabilities |
architecture, performance_metrics, limitations |
| Logging & Traceability | Category 5: Authentication & Permissions | audit_trail, logging_events |
| Training Data Metadata | Category 8: Supply Chain | training_data_sources, data_provenance |
| User Transparency | Category 6: Compliance | transparency_obligations, user_disclosure |
| Risk Management | Category 6: Compliance | risk_management_file, mitigation_measures |
| Post-Market Monitoring | Category 7: Performance | real_world_perf, drift_detected |
| Incident Reporting | Category 6: Compliance Category 7: Performance |
incident_reports, severity |
| GPAI Transparency | Category 2: Baseline Model Category 8: Supply Chain |
training_data_summary, benchmark_results |
| Supply Chain Documentation | Category 8: Supply Chain | component_dependencies, sbom |
| Regulatory Actions | Category 6: Compliance | regulatory_actions, certificates |
The EU AI Act follows a phased implementation schedule:
Regulation enters into force
Prohibited practices and AI literacy requirements effective
GPAI provider obligations begin, including training data transparency and benchmark disclosure
High-risk system requirements fully applicable, including mandatory conformity assessment
High-risk AI systems in regulated products (Annex I) fully compliant
AgentFacts provides comprehensive coverage of all EU AI Act documentation requirements through its 10-category universal framework. No additional metadata systems or schemas are required.
100% Coverage Verification
Each of the 11 EU AI Act metadata requirements maps to one or more AgentFacts categories. Organizations implementing the standard AgentFacts schema automatically establish compliance infrastructure.
High-risk AI systems require the most comprehensive documentation. AgentFacts Category 6 (Compliance & Regulatory) provides the primary structure for high-risk metadata:
{
"category_6_compliance_regulatory": {
"eu_ai_act": {
"version": "2024/1689",
"risk_classification": {
"tier": "high-risk",
"annex_reference": "Annex III, Section 5(b)",
"classification_rationale": "Employment decision system",
"classification_authority": "National Competent Authority"
},
"conformity_assessment": {
"assessment_type": "third_party",
"notified_body": {
"name": "Certification Authority Name",
"id": "NB-XXXX",
"certificate_number": "EU-CERT-YYYY-ZZZZ"
}
},
"risk_management_system": {
"framework_version": "2.1",
"identified_risks": [...],
"mitigation_measures": [...],
"residual_risk": "low"
},
"technical_documentation": {
"document_version": "3.2",
"sections": {
"system_description": "URL",
"architecture": "URL",
"performance_metrics": "URL"
}
}
}
}
}
Risk tier, annex reference, classification rationale
Third-party validation, notified body certificates
Identified hazards, mitigation measures, residual risk evaluation
Architecture, training methodology, performance benchmarks
Tamper-resistant audit trails with 10-year retention
Real-world performance tracking, drift detection
General-Purpose AI providers face additional transparency obligations effective August 2, 2025. AgentFacts addresses these requirements through Category 2 (Baseline Model) and Category 8 (Supply Chain):
Article 53 requires GPAI providers to publish detailed information about training data, including copyright status. AgentFacts Category 8 provides comprehensive structure:
{
"category_8_supply_chain": {
"training_data_metadata": [
{
"source_id": "dataset_001",
"data_type": "text_corpus",
"collection_method": "web_crawling",
"data_sources": ["public_web", "licensed_content"],
"license_info": "CC-BY-4.0, proprietary_licenses",
"is_copyrighted": true,
"copyright_disclosure": "Includes copyrighted material",
"preprocessing_steps": "deduplication, filtering",
"bias_mitigation": "demographic_balancing"
}
],
"training_data_summary": {
"total_volume": "10TB",
"primary_languages": ["en", "es", "fr", "de"],
"temporal_coverage": "2015-2024",
"quality_assessment": "automated_filtering"
}
},
"category_2_baseline_model": {
"benchmark_results": {
"mmlu": 0.89,
"hellaswag": 0.92,
"truthfulqa": 0.87
},
"safety_evaluations": {
"red_teaming": "completed",
"adversarial_testing": "completed",
"evaluation_date": "2024-11-15"
}
}
}
GPAI models with systemic risk (defined by computational threshold or significant impact) face heightened requirements:
Mandatory red-teaming and robustness evaluation
Mandatory reporting to EU AI Office within defined timeframes
Enhanced security measures and model protection
Periodic assessment of systemic risks and capabilities
Limited-risk systems primarily require transparency obligations—informing users they are interacting with AI and labeling AI-generated content. AgentFacts Category 6 addresses these requirements:
{
"category_6_compliance_regulatory": {
"eu_ai_act": {
"risk_classification": {
"tier": "limited-risk"
},
"transparency_obligations": {
"user_disclosure": true,
"disclosure_mechanism": "in_application_notice",
"content_labeling": true,
"labeling_format": "watermark_and_metadata"
}
}
}
}
Organizations can extend the base AgentFacts schema with EU AI Act-specific fields while maintaining full compatibility with the universal standard. The recommended approach uses Category 6 extensions:
Extension Pattern
EU AI Act compliance metadata extends existing categories rather than creating parallel structures. This ensures that AgentFacts metadata remains universally compatible while accommodating jurisdiction-specific requirements.
AgentFacts provides validation tools to verify EU AI Act compliance status. The validation framework checks for required fields, appropriate documentation, and conformity with risk tier obligations.
Verify AgentFacts metadata conforms to universal schema
Determine applicable EU AI Act risk category
Validate presence of mandatory documentation elements
Assess completeness and quality of technical documentation
Generate detailed compliance status and gap analysis
Validate existing AgentFacts metadata against EU AI Act requirements
Validate Metadata →Pre-configured templates for high-risk, GPAI, and limited-risk systems
View on GitHub →Complete AgentFacts specification with EU AI Act extensions
Read ArXiv Paper →Jared James Grogan, creator of the AgentFacts standard, provides specialized consulting for EU AI Act compliance implementation, conformity assessment preparation, and regulatory documentation.
• EU AI Act compliance roadmap development
• High-risk system conformity assessment preparation
• GPAI training data transparency automation
• Notified body coordination and liaison
• Multi-jurisdiction compliance strategy
Contact: jared.grogan@post.harvard.edu
Regulation (EU) 2024/1689 – Official Journal of the European Union
View Regulation →Apache 2.0 Licensed | Open Standard Infrastructure
Copyright 2022-2025 Jared James Grogan