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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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Energy efficiency is a crucial issue for the sustainability of cities, today and in the future, especially due to the emerging appearance of smart cities (SC) and of cutting-edge technologies. Some emerging technologies, such as artificial intelligence (AI), big data,…
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Standards Body: ITU
Last updated: 7 Jan 2025
Recommendation ITU-T M.3382 provides the requirements for work order processing in telecom management with artificial intelligence (AI). Based on AI models and features extraction, work orders will be collected, analysed, forwarded and archived. This Recommendation describes the framework and functional…
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Standards Body: ITU
Last updated: 7 Jan 2025
Recommendation ITU-T F.742.1 describes application scenarios and requirements for smart class system based on artificial intelligence, including application scenarios, service requirements, management requirements, and security considerations. Ā© ITU 2024 All rights reserved
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Standards Body: ITU
Last updated: 7 Jan 2025
This recommendation specifies requirements of machine learning based QoS assurance for the international mobile telecommunications 2020 (IMT-2020) network. This recommendation first provides an overview of machine learning based QoS assurance for IMT-2020 network. It includes overview of capabilities for QoS…
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Standards Body: ITU
Last updated: 7 Jan 2025
Recommendation ITU-T M.3383 introduces the requirements for log analysis in telecom management with artificial intelligence (AI) and includes a functional framework, functional requirements, and typical scenarios of log analysis in telecom management with AI. This Recommendation gives examples of some…
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Standards Body: ITU
Last updated: 7 Jan 2025
Recommendation ITU-T M.3381 provides requirements for energy saving management of a 5G radio access network (RAN) system with artificial intelligence (AI). Recommendation ITU-T M.3381 explains the requirements of using AI technology to achieve energy saving management for communication units and…
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Standards Body: ITU
Last updated: 7 Jan 2025
This standard establishes recommendations and requirements for remote biometric identification systems including both real-time and ex-post, including AI-based systems: 1. Technical solutions to be implemented in the design and development phases in relation to the following: appropriateness of training and…
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This Recommendation establishes the concept of artificial intelligence service exposure (AISE) for smart sustainable cities (SSCs). The scope of this Recommendation includes for AISE: – the concept, analysis of common characteristics and high-level requirements; – reference architecture and relevant common…
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Standards Body: ITU
Last updated: 7 Jan 2025
This recommended practice provides a framework for vulnerability tests for machine learning models in the computer vision domain. The document covers the following areas: definitions of vulnerabilities for machine learning models and their training processes, approaches for the selection and…
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Standards Body: IEEE
Last updated: 7 Jan 2025
This recommended practice establishes an evaluation framework for the capabilities of artificial intelligence dialogue systems such as chatbots, consulting terminals, or operation interfaces. The recommended practice defines and classifies the types and levels of the intelligence capabilities according to a…
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Standards Body: IEEE
Last updated: 7 Jan 2025
This recommended practice specifies governance criteria such as safety, transparency, accountability, responsibility and minimizing bias, and process steps for effective implementation, performance auditing, training and compliance in the development or use of artificial intelligence within organizations. Ā©IEEE 2022. All rights…
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Standards Body: IEEE
Last updated: 7 Jan 2025
This recommended practice describes ethical considerations and recommended best practices in the design of artificial intelligence as used by adaptive instructional systems. The ethical considerations derived from P2247.1, Standard for the Classification of Adaptive Instructional Systems is directly related to:…
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Standards Body: IEEE
Last updated: 7 Jan 2025
The aim of this document is to help CEN/CENELEC Working Group convenors and experts to promote/develop simulation in their standards as an alternative to physical tests on the real system for proving conformity. It can also provide useful guidance to…
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Standards Body: CEN
Last updated: 7 Jan 2025
This Recommendation specifies the protocol for managing intelligent network slicing with AI-assisted network analysis function in IMT-2020 networks. It describes the architectural concept of intelligent network slicing application programming interface (APIs) and management system, reference points among relevant functional elements,…
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Standards Body: ITU
Last updated: 7 Jan 2025