Definition
The EU Artificial Intelligence Act (EU AI Act) is the world's first comprehensive binding regulation governing AI systems — establishing a risk-based framework with mandatory compliance obligations for providers and deployers of high-risk AI in the European Union.
- •Entered into force August 2024 with phased implementation; high-risk AI obligations apply from August 2026.
- •Risk tiers: unacceptable risk (banned), high risk (full compliance obligations), limited risk (transparency), minimal risk (no mandatory requirements).
- •High-risk AI systems must comply with Articles 9–15: risk management, training data governance, technical documentation, logging, transparency, human oversight, and accuracy.
- •Article 12 requires automatic logging of AI decisions throughout the operational lifetime of high-risk systems.
- •Article 10 requires training data to meet governance and quality standards — certified synthetic datasets with documented provenance satisfy these requirements.
Pillar Hub
EU AI Act
Compliance requirements, technical obligations, and implementation guidance for the world's first binding AI regulation — from decision logging and risk classification to training data compliance.
What Is the EU AI Act?
The EU Artificial Intelligence Act is the first comprehensive binding legal framework for AI systems globally. It entered into force in August 2024, with high-risk AI obligations applying from August 2026.
The Act classifies AI systems into risk tiers. High-risk AI systems — those used in biometric identification, critical infrastructure, education, employment, essential services, law enforcement, migration, and administration of justice — face the most stringent obligations, including mandatory decision logging, technical documentation, and audit trails.
Article 10 requires that training datasets for high-risk AI systems meet governance and quality standards, with documented provenance. Cryptographically certified synthetic datasets — with verifiable generation parameters and quality scores — directly satisfy these requirements. CertifiedData.io provides the certification infrastructure for AI artifacts and synthetic training data.
In This Hub
Compliance Guide
The comprehensive guide to EU AI Act requirements — risk classification, high-risk AI obligations, implementation timeline, and compliance strategy.
Compliance Checklist
A practical checklist for providers and deployers of high-risk AI systems covering Articles 9, 10, 12, 14, and 19.
AI Act Compliance Infrastructure
Technical architecture for Articles 10, 12, and 19 compliance — the three infrastructure pillars every high-risk AI organization must build.
Article 10 — Data Governance
Training data provenance, quality controls, bias evaluation, and how certified synthetic datasets satisfy Article 10 requirements.
Article 9 — Risk Management
Mandatory risk management systems for high-risk AI: identification, estimation, evaluation, and mitigation of risks.
Article 12 — Decision Logging
Automatic logging requirements for high-risk AI systems — log content, retention periods, and tamper-evident architecture.
Article 19 — Documentation
Post-market monitoring, incident reporting, and documentation obligations for high-risk AI providers.
AI Artifact Certification
Cryptographic certification of AI datasets and models — SHA-256 fingerprinting, Ed25519 signatures, and independent verification for regulatory compliance.
AI Decision Logging Platform
Technical architecture for Article 12-compliant decision logging — cryptographic logs, retention, and audit access.
AI Audit Trail
Full lifecycle audit trails for high-risk AI systems — training data provenance, model lineage, and runtime logs.
Synthetic Data Compliance
How certified synthetic datasets satisfy EU AI Act Article 10 training data requirements.
Technical Reference
Technical definitions, article cross-references, and implementation notes for AI developers and compliance teams.