ISO/IEC 24029-1:2021 / 24029-2:2023 — Assessment of the robustness of neural networks
STANDARD
AI GOVERNANCE
Standards establishing formal and empirical methodologies to assess the robustness of deep neural networks against perturbations.
STANDARD
AI GOVERNANCE
ISO/IEC 23053:2022 — Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
An international standard describing a systemic framework and reference architecture for AI systems utilizing machine learning.
BUSINESS RELEVANCE
It provides a structured architectural baseline for building and maintaining ML systems, helping organizations ensure end-to-end consistency from data ingestion to model deployment.
IMPLEMENTATION EXAMPLE
An engineering team structures its machine learning operations (MLOps) pipeline around ISO/IEC 23053 stages, creating clear handoffs and audit gates between data preparation, model training, and production monitoring.
LIMITATIONS
It provides an architectural framework rather than prescriptive technical code, operational performance thresholds, or regulatory certifications.
TECHNICAL EXPLANATION
ISO/IEC 23053 details the lifecycle and functional components of ML systems, including data pipeline ingestion, feature engineering, model training, evaluation, deployment, and execution. It establishes architectural terminology and relationships between components across supervised, unsupervised, and reinforcement learning paradigms.
Secondary Topics
Data Engineering, Systems Architecture
Sources
ISO — ISO/IEC 23053:2022 — https://www.iso.org/standard/77609.html
Related terms
ISO/IEC 42005:2025 — AI System Impact Assessment
STANDARD
AI GOVERNANCE
An international standard outlining methodology for conducting comprehensive impact assessments on AI deployments.
ISO/IEC TR 24368:2022 — Information technology — Artificial intelligence — Overview of ethical and societal concerns
STANDARD
AI GOVERNANCE
A technical report examining ethical and societal concerns, human rights, and governance considerations in artificial intelligence.
ISO 31000:2018 — Risk Management Guidelines
STANDARD
AI GOVERNANCE
An international standard offering principles, a structured framework, and processes for enterprise risk management.
ISO/IEC 5259 Series — Information technology — Artificial intelligence — Data quality for analytics and machine learning (ML)
STANDARD
AI GOVERNANCE
A multi-part international standard establishing data quality models, metrics, and governance processes for AI and machine learning.