Numéro de référence
ISO/IEC 23053:2022
Norme internationale
ISO/IEC 23053:2022
Cadre pour les systèmes d'intelligence artificielle (IA) qui utilisent l'apprentissage machine (ML)
Edition 1
2022-06
Prévisualiser
ISO/IEC 23053:2022
74438
Publiée (Edition 1, 2022)

ISO/IEC 23053:2022

ISO/IEC 23053:2022
74438
Langue
Format
CHF 177
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What is ISO/IEC 23053?

ISO/IEC 23053 provides a conceptual framework and shared terminology for describing artificial intelligence (AI) systems that use machine learning (ML). It defines the components and functions of ML-based AI systems within the broader AI ecosystem, offering clarity on how these systems operate and interact. The standard is designed for both technical experts and non-specialists seeking to understand and explain ML systems in a structured, consistent way.

Why is ISO/IEC 23053 important?

AI and ML are rapidly evolving fields, but the lack of common language and system definitions can lead to confusion, miscommunication and fragmented development efforts. ISO/IEC 23053 addresses this challenge by establishing a unified vocabulary and model for ML-based AI systems. This helps stakeholders — from developers to regulators — communicate effectively, evaluate system behaviours, and lay the groundwork for responsible design, implementation and oversight of AI technologies.

Benefits

  • Provides a clear and shared language for describing ML systems
  • Supports collaboration across teams and organisations
  • Enhances transparency and understanding of AI system components
  • Facilitates the development of additional AI standards and governance tools
  • Helps non-technical stakeholders engage meaningfully with AI system design

 

FAQ

Organisations of any size or sector that are designing, developing, deploying or evaluating AI systems using machine learning.

ISO/IEC 23053 provides foundational concepts that support and align with more specific standards — such as those for risk management, governance, and conformity assessment — within the AI ecosystem.

Yes, deep learning is a subset of machine learning and is explicitly addressed within the standard’s framework.

Offre groupée

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  • ISO 5259-1:2024
  • IEC 5259-2:2024
  • IEC 5259-3:2024
  • IEC 5259-4:2024
  • IEC 5259-5:2024

Informations générales

  •  : Publiée
     : 2022-06
    : Norme internationale publiée [60.60]
  •  : 1
     : 38
  • ISO/IEC JTC 1/SC 42
    35.020 
  • RSS mises à jour

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