ISO/IEC 23053:2022

Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)

This document establishes an Artificial Intelligence (AI) and Machine Learning (ML) framework for describing a generic AI system using ML technology. The framework describes the system components and their functions in the AI ecosystem. This document is applicable to all types and sizes of organizations, including public and private companies, government entities, and not-for-profit organizations, that are implementing or using AI systems.

Cadre pour les systèmes d'intelligence artificielle (IA) qui utilisent l'apprentissage machine (ML)

Le présent document établit un cadre en matière d'intelligence artificielle (IA) et d'apprentissage machine (ML) pour la description d'un système d'IA générique utilisant la technologie du ML. Le cadre décrit les composants du système et leurs fonctions dans l'écosystème de l'IA. Le présent document s'applique aux organismes de tous types et de toutes tailles, y compris les entreprises publiques et privées, les entités gouvernementales et les organisations à but non lucratif, qui mettent en œuvre ou utilisent des systèmes d'IA.

General Information

• Status: Published
• Publication Date: 19-Jun-2022
• ICS: 35.020 - Information technology (IT) in general
• Technical Committee: ISO/IEC JTC 1/SC 42 - Artificial intelligence
• Drafting Committee: ISO/IEC JTC 1/SC 42/WG 1 - Foundational standards
• Current Stage: 6060 - International Standard published
• Start Date: 20-Jun-2022
• Due Date: 07-Mar-2022
• Completion Date: 20-Jun-2022

Standards Content (Sample)

INTERNATIONAL ISO/IEC
STANDARD 23053
First edition
2022-06
Framework for Artificial Intelligence
(AI) Systems Using Machine Learning
(ML)
Cadre méthodologique pour les systèmes d’intelligence artificielle (IA)
utilisant l’apprentissage machine
Reference number
ISO/IEC 23053:2022(E)
© ISO/IEC 2022

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ISO/IEC 23053:2022(E)
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ii
  © ISO/IEC 2022 – All rights reserved

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ISO/IEC 23053:2022(E)
Contents Page
Foreword .iv
Introduction .v
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 1
3.1 Model development and use . 1
3.2 Tools . 2
3.3 Data . 2
4 Abbreviated terms . 3
5 Overview . 4
6 Machine learning system .4
6.1 Overview . 4
6.2 Task . 5
6.2.1 General . 5
6.2.2 Regression . 6
6.2.3 Classification . . 6
6.2.4 Clustering . . 6
6.2.5 Anomaly detection . . 6
6.2
...