An international standard for describing how machine learning systems are built and work — a common blueprint language for explaining ML architecture to diverse stakeholders.
An international standard for describing how machine learning systems are built and work — a common blueprint language for explaining ML architecture to diverse stakeholders.
ISO/IEC 23053:2022 (Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)) defines a conceptual ML system framework covering components such as data collection, data pre-processing, model training, model evaluation, deployment, and monitoring, together with the interfaces and data flows between them. It provides a reference architecture that supports interoperability between AI standards and enables consistent documentation of ML systems for governance and audit purposes. The framework underpins more specific standards including the ISO/IEC 5259 data quality series.
Technical documentation teams can use ISO/IEC 23053 as a structural framework for Annex IV documentation — mapping their specific ML architecture to the standard's reference components to ensure completeness.
Like a standard reference architecture for building construction — specifying how load-bearing walls, plumbing, electrical systems, and insulation relate to each other, without prescribing specific materials or designs.
An international standard for describing how machine learning systems are built and work — a common blueprint language for explaining ML architecture to diverse stakeholders.
ISO/IEC 23053:2022 (Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)) defines a conceptual ML system framework covering components such as data collection, data pre-processing, model training, model evaluation, deployment, and monitoring, together with the interfaces and data flows between them. It provides a reference architecture that supports interoperability between AI standards and enables consistent documentation of ML systems for governance and audit purposes. The framework underpins more specific standards including the ISO/IEC 5259 data quality series.
Technical documentation teams can use ISO/IEC 23053 as a structural framework for Annex IV documentation — mapping their specific ML architecture to the standard's reference components to ensure completeness.