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Standards Database

Find information on AI-related standards using the search and filtering capabilities below. This database currently covers nearly 300 relevant standards that are being developed or have been published by a range of prominent Standards Development Organisations.

Hover over the filter categories here to learn more about them:

Domain The industry or sector that the standard covers (e.g. Energy).

Type of standard Whether the standard covers terminology, processes, performance requirements or measurement requirements.
Application The type of technology, method or application covered by the standard. (E.g. Natural language processing)

Stage of development If the standards is pre-draft, draft or published.
Scope Whether the standard is focused entirely on AI, or is adjacent to AI.

Issuing body The standards body or organisation that issued the standard.
Topic The theme, principle or area covered by the standard (e.g. bias and discrimination).

Committee The standards committee that developed this standard.
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Published
Last updated: 7 Oct 2022
The objective of this International Standard is to provide principles, definitions, and a model for governing bodies to use when evaluating, directing, and monitoring the use of information technology (IT) in their organizations. This International Standard is a high level,…
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Published
Standards Body: IEC
Last updated: 7 Oct 2022
This This Technical Specification provides guidance on how to implement arrangements for effective governance of IT within an organization. This Technical Specification identifies the key activities that an organization has to undertake to implement governance of IT, in accordance with…
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Published
Standards Body: IEC
Last updated: 7 Oct 2022
This document provides guidance on the assessment of governance of information technology (IT) based on the principles, definitions and model for the governance of IT outlined in ISO/IECĀ 38500 and ISO/IECĀ TRĀ 38502 and the implementation considerations outlined in ISO/IECĀ TSĀ 38501.This document includes approaches…
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Published
Standards Body: IEC
Last updated: 7 Oct 2022
This document provides guidance to the members of governing bodies of organizations and their executive managers on the implications of ISO/IECĀ 38505-1 for data management. It assumes understanding of the principles of ISO/IECĀ 38500 and familiarization with the data accountability map and…
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Published
Standards Body: IEC
Last updated: 7 Oct 2022
This standard sets out the necessary procedures to maintain the registry of written language conversion systems. Ā© ISO/IEC 2022 All rights reserved
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Published
Standards Body: IEC, ISO
Last updated: 7 Oct 2022
This document provides guidance for technical and non-technical personnel at senior management levels within an organization, including those with responsibility for compliance with statuary and regulatory requirements, and industry standards. It describes how such personnel can identify and take ownership…
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Published
Standards Body: IEC
Last updated: 7 Oct 2022
This document provides an overview, foundational concepts, and definitions for the cloud SLA framework. ISO/IEC 19086 builds on the cloud computing concepts defined in ISO/IEC 17788 and ISO/IEC 17789. This document establishes a common framework for helping organizations to understand…
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Published
Standards Body: IEC
Last updated: 7 Oct 2022
This document provides a set of terms and definitions needed to promote improved communication and understanding of this area. It provides a terminological foundation forĀ big data-related standards. This document provides a conceptual overview of the field ofĀ big data, its relationship…
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Published
Standards Body: IEC
Last updated: 7 Oct 2022
This document provides an overview of the state of the art of computational approaches for AI systems, by describing: a) main computational characteristics of AI systems; b) main algorithms and approaches used in AI systems, referencing use cases contained in…
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Published
Standards Body: IEC
Last updated: 7 Oct 2022
The recommendations on evaluating and improving algorithm reliability for shortening the development cycle of deep learning algorithm and improving the quality of software system based on deep learning algorithm are defined in this document. Assessment index system, and corresponding assessment…
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Published
Standards Body: IEEE
Last updated: 11 Jul 2024