Harmonised Standards

AI Risk Management System Requirements

Harmonised standard under development for AI risk management systems as required by Article 9. Will specify detailed requirements for identifying, assessing, and mitigating risks throughout the AI system lifecycle.

AI Technical Documentation Requirements

Harmonised standard under development for technical documentation as required by Article 11 and Annex IV. Will specify detailed content requirements for technical documentation of high-risk AI systems.

AI Post-Market Monitoring Requirements

Harmonised standard under development for post-market monitoring systems as required by Article 72. Will specify requirements for continuous performance monitoring, incident detection, and corrective action.

AI Data Governance Requirements

Harmonised standard under development for data governance as required by Article 10. Will cover data quality, representativeness, bias assessment, and data management practices.

AI Transparency and Information Requirements

Harmonised standard under development for transparency requirements as specified in Articles 13 and 50. Will detail how providers must make AI system output interpretable and document instructions for use.

AI Human Oversight Requirements

Harmonised standard under development for human oversight measures as required by Article 14. Will specify requirements for human monitoring, interpretation, override capability, and automation bias mitigation.

AI Accuracy, Robustness, and Cybersecurity Requirements

Harmonised standard under development for technical requirements as specified in Article 15. Will cover accuracy metrics, robustness testing, bias detection, and cybersecurity measures.

AI Conformity Assessment Procedures

Harmonised standard under development for conformity assessment procedures for high-risk AI systems as detailed in Annexes VI and VII of the AI Act.

Artificial intelligence — Concepts and terminology

Establishes terminology and describes concepts in the field of artificial intelligence. Foundation standard for other AI standards.

Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)

Establishes an AI/ML framework describing a generic AI system using ML technology and its components.

Artificial intelligence — Guidance on risk management

Provides guidance on managing risk related to AI systems for organizations that develop, produce, deploy, or use AI systems. Extends ISO 31000 risk management principles to AI contexts.

Information security, cybersecurity and privacy protection — Information security management systems — Requirements

Requirements for establishing, implementing, maintaining, and continually improving an information security management system. Relevant for AI system cybersecurity requirements under Article 15.

Artificial intelligence — Management system

Requirements for establishing, implementing, maintaining, and continually improving an AI management system. Provides a systematic approach to managing AI-related risks and opportunities.

Information technology — Artificial intelligence — AI system life cycle processes

Defines processes and activities applicable throughout the AI system life cycle. Extends ISO/IEC/IEEE 15288 systems engineering processes for AI-specific considerations.

Software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Quality model for AI systems

Defines a quality model for AI systems extending the SQuaRE series with AI-specific quality characteristics including functional correctness, performance efficiency, and trustworthiness.