EU AI Act Compliance Guide
The comprehensive EU AI Act compliance guide: risk classification, high-risk AI obligations, training data requirements, logging, documentation, and technical file requirements.
The EU Artificial Intelligence Act (EU AI Act) is the world's first comprehensive binding regulation governing AI systems. It entered into force in August 2024 with a phased implementation schedule.
The Act establishes a risk-based framework: AI systems are classified as unacceptable risk (banned), high risk (heavily regulated), limited risk (transparency obligations), or minimal risk (no mandatory requirements).
Organizations that provide or deploy high-risk AI systems in the EU market face significant compliance obligations — spanning risk management, training data documentation, technical file preparation, decision logging, human oversight, and post-market monitoring.
Risk Classification Framework
The EU AI Act classifies AI systems into risk tiers based on their application domain and potential harm. High-risk AI systems include those used in biometric identification, critical infrastructure, education, employment, essential services, law enforcement, migration, and administration of justice. High-risk classification triggers the full suite of compliance obligations.
Article 10 — Training Data Requirements
High-risk AI systems must use training, validation, and testing datasets that are subject to appropriate data governance and management practices — including data quality criteria, relevance assessment, and sufficient coverage for the intended purpose. Certified synthetic datasets, with documented provenance and validation scores, directly satisfy these requirements.
CertifiedData.io provides cryptographic certification infrastructure for synthetic datasets and AI artifacts, producing tamper-evident records for audit and EU AI Act compliance.
Article 11 — Technical Documentation
Providers must prepare comprehensive technical documentation before placing a high-risk AI system on the market. This includes: system description, development methodology, training data information, performance metrics, risk management measures, and post-market monitoring plan.
Article 12 — Automatic Logging
High-risk AI systems must be capable of automatically logging events during operation — enabling traceability of AI outputs throughout the system's operational lifetime. Logs must be retained for at least six months and must be accessible to providers and market surveillance authorities.
Article 9 — Risk Management System
Providers must establish, implement, document, and maintain a risk management system throughout the AI system lifecycle. The system must identify foreseeable risks, evaluate those risks under intended and reasonably foreseeable conditions of use, and implement risk mitigation measures.
Article 19 — Conformity Assessment
High-risk AI systems must undergo a conformity assessment — either self-assessment by the provider or third-party assessment by a notified body — before placement on the EU market. The conformity assessment verifies compliance with all applicable requirements.