NS-ISO/IEC 42001:2023
Current
Current
The latest, up-to-date edition.
Information technology - Artificial intelligence - Management system
Available format(s)
Hardcopy
Language(s)
English
Published date
01-08-2024
This document specifies the requirements and provides guidance for establishing, implementing, maintaining and continually improving an AI (artificial intelligence) management system within the context of an organization.
| Committee |
ISO/IEC JTC 1
|
| DocumentType |
Standard
|
| Pages |
66
|
| ProductNote |
This standard is also refers to ISO 9001, ISO 9241-210, ISO 13485, ISO 22000, IEC 62304,
ISO/IEC 5259, ISO/IEC 27701 |
| PublisherName |
Norwegian Standards (Norges Standardiseringsforbund)
|
| Status |
Current
|
| Standards | Relationship |
| ISO/IEC 42001:2023 | Identical |
| ISO/IEC 23053:2022 | Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) |
| ISO/IEC 17065:2012 | Conformity assessment — Requirements for bodies certifying products, processes and services |
| ISO/IEC 38507:2022 | Information technology — Governance of IT — Governance implications of the use of artificial intelligence by organizations |
| ISO/IEC TR 24029-1:2021 | Artificial Intelligence (AI) — Assessment of the robustness of neural networks — Part 1: Overview |
| ISO/IEC 38500:2015 | Information technology — Governance of IT for the organization |
| IEC 62304:2006 | Medical device software - Software life cycle processes |
| ISO/IEC 27000:2018 | Information technology — Security techniques — Information security management systems — Overview and vocabulary |
| ISO/IEC Guide 51:2014 | Safety aspects — Guidelines for their inclusion in standards |
| ISO/IEC TR 24027:2021 | Information technology — Artificial intelligence (AI) — Bias in AI systems and AI aided decision making |
| ISO 8000-2:2017 | Data quality — Part 2: Vocabulary |
| ISO/IEC 23894:2023 | Information technology — Artificial intelligence — Guidance on risk management |
| ISO 37002:2021 | Whistleblowing management systems — Guidelines |
| ISO/IEC TR 24368:2022 | Information technology — Artificial intelligence — Overview of ethical and societal concerns |
| ISO/IEC 5338:2023 | Information technology — Artificial intelligence — AI system life cycle processes |
| ISO/IEC 27701:2019 | Security techniques — Extension to ISO/IEC 27001 and ISO/IEC 27002 for privacy information management — Requirements and guidelines |
| ISO/IEC 25024:2015 | Systems and software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Measurement of data quality |
| ISO/IEC 19944-1:2020 | Cloud computing and distributed platforms ─ Data flow, data categories and data use — Part 1: Fundamentals |
| ISO/IEC 25059:2023 | Software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Quality model for AI systems |
| ISO/IEC TS 4213:2022 | Information technology — Artificial intelligence — Assessment of machine learning classification performance |
| ISO/IEC 29100:2011 | Information technology — Security techniques — Privacy framework |
| ISO 31000:2018 | Risk management — Guidelines |
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