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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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This document defines a taxonomy of information elements to assist AI stakeholders with identifying and addressing the needs for transparency of AI systems. The document describes the semantics of the information elements and their relevance to the various objectives of…
Domain:
Horizontal
Scope:
AI-specific
Topic:
Explainability and transparency
Type of Standard:
Foundational and terminologyProcess, management and governance
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0 replies
0 followers
This document describes testing techniques (including those described in ISO/IEC/IEEE 29119-4) applicable for AI systems in the context of the AI system life cycle model stages defined in ISO/IEC 22989. It describes how AI and ML assessment metrics can be…
Domain:
Horizontal
Scope:
AI-specific
Topic:
Risk managementSystem lifecycle
Type of Standard:
Measurement and test methods
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0 replies
0 followers
This document describes approaches and provides guidance on processes for the verification and validation analysis of AI systems (comprising AI system components and the interaction of non-AI components with the AI system components) including formal methods, simulation and evaluation. This…
Domain:
Horizontal
Scope:
AI-specific
Topic:
Formal verificationRisk managementSystem lifecycleSystem quality
Type of Standard:
Measurement and test methodsProcess, management and governance
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0 replies
0 followers
This document describes testing techniques (including those described in ISO/IEC/IEEE 29119-4) applicable for AI systems in the context of the AI system life cycle model stages defined in ISO/IEC 22989. It describes how AI and ML assessment metrics can be…
Domain:
Horizontal
Scope:
AI-specific
Topic:
Accuracy and performanceFormal verificationSystem lifecycle
Type of Standard:
Measurement and test methods
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0 replies
0 followers
This document defines a reference architecture of Knowledge Engineering (KE) in Artificial Intelligence (AI). The reference architecture describes KE roles, activities, constructional layers, components and their relationships amongst themselves and other systems from systemic user and functional views. This document…
Domain:
Horizontal
Scope:
AI-specific
Topic:
System architecture
Type of Standard:
Foundational and terminologyInterface and architecture
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0 replies
0 followers
This document specifies additional requirements for ISO/IEC 17021-1 in order to enable accredited and or peer assessed certification bodies to reliably audit the management system for organizations that develop or use AI systems or both according to ISO/IEC 42001 and…
Domain:
Horizontal
Scope:
AI-specific
Topic:
Organisational governance
Type of Standard:
Process, management and governance
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0 replies
0 followers
This document provides guidance on how organizations that develop, produce, deploy or use products, systems and services that utilize artificial intelligence (AI) can manage risk specifically related to AI. The guidance also aims to assist organizations to integrate risk management…
Domain:
Horizontal
Scope:
AI-specific
Topic:
AccountabilityBias and discriminationExplainability and transparencyOrganisational governancePrivacyRisk managementRobustnessSafetySecurity and resilienceSustainability
Type of Standard:
Process, management and governance
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0 replies
0 followers
This document provides a process management framework for using big data analytics (BDA) across most functions of an organization. Big data are extensive datasets, primarily in the characteristics of volume, variety, velocity, and/or variability that require a scalable technology for…
Domain:
Horizontal
Scope:
AI-enabling - Data
Topic:
Data collectionData managementData processingRisk management
Type of Standard:
Measurement and test methodsProcess, management and governance
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0 replies
0 followers
What is ISO/IEC TR 24028 about? ISO/IEC TR 24028 is an international standard on artificial Intelligence (AI) which includes task performance that normally requires human intelligence. ISO/IEC TR 24028 surveys topics related to trustworthiness in AI systems, including the following:…
Domain:
Horizontal
Scope:
AI-specific
Topic:
AccountabilityAccuracy and performanceBias and discriminationData qualityExplainability and transparencyPrivacyRisk managementRobustnessSafetySecurity and resilienceSystem quality
Type of Standard:
Foundational and terminologyProcess, management and governance
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0 replies
0 followers
Domain:
Horizontal
Scope:
AI-specific
Topic:
System architecture
Type of Standard:
Foundational and terminology
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0 replies
0 followers
This document provides a high-level overview of AI ethical and societal concerns. In addition, this document: — provides information in relation to principles, processes and methods in this area; — is intended for technologists, regulators, interest groups, and society at…
Domain:
Horizontal
Scope:
AI-specific
Type of Standard:
Foundational and terminology
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0 replies
0 followers
This document describes approaches and methods that can be used to achieve explainability objectives of stakeholders with regards to ML models and AI systems‘ behaviours, outputs, and results. Stakeholders include but are not limited to, academia, industry, policy makers, and…
Domain:
Horizontal
Scope:
AI-specific
Topic:
Explainability and transparencySystem lifecycle
Type of Standard:
Process, management and governance
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0 replies
0 followers
This document specifies the requirements and provides guidance for establishing, implementing, maintaining and continually improving an AI management system within the context of an organization. This document is intended for use by an organization providing or using products or services…
Domain:
Horizontal
Scope:
AI-specific
Type of Standard:
Process, management and governance
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0 replies
1 follower
Domain:
Horizontal
Scope:
AI-specific
Type of Standard:
Foundational and terminologyProcess, management and governance
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0 replies
0 followers
Domain:
Horizontal
Scope:
AI-specific
Topic:
Sustainability
Type of Standard:
Process, management and governance
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0 replies
0 followers
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