ISO/IEC 23053:2022 — Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
STANDARD
AI GOVERNANCE
An international framework defining the components, workflows, and lifecycle of machine learning-based AI systems.
STANDARD
AI GOVERNANCE
ISO/IEC 5338:2023 — AI system life cycle processes
An international standard defining comprehensive life cycle processes for engineering, deploying, and maintaining artificial intelligence systems.
BUSINESS RELEVANCE
It enables organizations to embed AI engineering into established software development lifecycles, ensuring traceable processes, quality management, and compliance readiness.
IMPLEMENTATION EXAMPLE
A DevOps engineering organization integrates ISO/IEC 5338 lifecycle stages into its CI/CD pipeline, establishing formal review gates between model prototyping, validation, deployment, and ongoing retirement.
LIMITATIONS
Adopting lifecycle processes requires cultural change and cross-disciplinary collaboration, and process conformance alone does not ensure business viability or algorithmic accuracy.
TECHNICAL EXPLANATION
Extending ISO/IEC/IEEE 12207 software engineering standards, ISO/IEC 5338 details AI-specific lifecycle processes including AI requirements definition, data management, model training, verification and validation, deployment, operational monitoring, and decommissioning. It provides structured guidance on managing iterative model updates and non-deterministic behavior.
Secondary Topics
Intelligent Automation, Systems Architecture
Sources
ISO — ISO/IEC 5338:2023 — https://www.iso.org/standard/81118.html
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STANDARD
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STANDARD
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