⚡ Quick Summary
The ISO/IEC AI Standards Comprehensive Reference (updated March 2026) is a practitioner's visual landscape and quick-reference index compiled by Synergy Compliance Consulting (SCC) SARL. Drawing directly from the ISO/IEC JTC 1/SC 42 published catalogue and related committees, the reference maps over 35 published international standards across key technical and governance domains. It organizes international standards into clear functional categories, spanning foundational frameworks, risk and governance management systems, trustworthiness, data quality, lifecycle engineering, safety, sustainability, and conformity assessment.
🧩 What's Covered
The reference organizes published ISO/IEC standards into structured thematic pillars accompanied by a tabular lookup by publication year and category:
- Foundational & Frameworks: Foundational concepts, terminology, and system frameworks, including ISO/IEC 22989 (Concepts and Terminology), ISO/IEC 23053 (ML Framework), ISO/IEC 5338 (AI System Life Cycle Processes), ISO/IEC 5339 (Guidance for AI Applications), ISO/IEC 5392 (Knowledge Engineering Architecture), and the ISO/IEC 20546/20547 big data series.
- Governance & Management: Core organizational governance specifications, notably ISO/IEC 42001 (AI Management System Requirements), ISO/IEC 23894 (Risk Management Guidance), ISO/IEC 38507 (IT Governance AI Implications), ISO/IEC 42005 (AI System Impact Assessment), ISO/IEC TR 24368 (Ethical and Societal Concerns), and ISO/IEC 12792 (Transparency Taxonomy).
- Trustworthiness, Safety & Quality: Guidance and technical specifications addressing AI reliability, including bias evaluation and mitigation (ISO/IEC TR 24027, ISO/IEC TS 12791), neural network robustness (ISO/IEC TR 24029-1, ISO/IEC 24029-2), SQuaRE quality models (ISO/IEC 25059, ISO/IEC TS 25058), controllability (ISO/IEC TS 8200), explainability and interpretability (ISO/IEC TS 6254), and functional safety (ISO/IEC TR 5469).
- Data Quality & Big Data: The multipart ISO/IEC 5259 series covering analytics and ML data quality overview, requirements, measurement, management, provenance, and governance, alongside ML classification performance metrics (ISO/IEC TS 4213) and process management (ISO/IEC 24688).
- Conformity Assessment & Sustainability: Audit and certification scheme standards (ISO/IEC 42006, ISO/IEC 42007, ISO/IEC 17021-1), practical use cases (ISO/IEC TR 24030 with 185+ use cases), computational approaches (ISO/IEC TR 24372), and environmental sustainability metrics (ISO/IEC TR 20226 and ISO/IEC 30134 series).
💡 Why it matters?
As international AI regulatory regimes mature, adherence to harmonized international standards is essential for legal compliance, conformity assessment, and cross-border operational interoperability. This reference provides compliance leads, enterprise architects, and auditors with a unified view of published standards, facilitating roadmap planning and integration across management system audits (ISO/IEC 42001) and specialized technical assessments.
❓ What's Missing
The document is an index and reference map; it does not contain the full text, implementation clauses, or evaluation criteria of the standards themselves. Furthermore, standards currently under development (such as working drafts, committee drafts, or draft international standards) are omitted, requiring verification via the official ISO/IEC SC 42 portal.
👥 Best For
This reference is ideal for AI governance officers, risk managers, IT and compliance auditors, lead implementers for ISO/IEC 42001, enterprise architects, and conformity assessment bodies evaluating AI lifecycle governance.
📄 Source Details
Published by Synergy Compliance Consulting (SCC) SARL in March 2026, compiled from ISO/IEC JTC 1/SC 42 published catalogue data and the ISO policy brief.
📝 Thanks to
Synergy Compliance Consulting (SCC) SARL for compiling and maintaining this practitioner index across ISO/IEC JTC 1/SC 42 and related international standardization committees.
