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ITU-T L Suppl. 48 (07/2022)
Data centre energy saving: Application of artificial intelligence technology in improving energy efficiency of telecommunication room and data centre infrastructure
Telecommunication room and data centre (DC) infrastructure includes a large number of items of information and communication equipment. In order…
VDE-AR-E 2842-61-4
Development and trustworthiness of autonomous/cognitive systems – Part 61-4: Development at System Level; Text in English
Reference model for trustworthy Artificial intelligence (AI) has the great potential to change society, the economy and the coexistence of…
Share your thoughts on this standard with the AI Standards Hub community here.
Share your thoughts on this standard with the AI Standards Hub community here.
Share your thoughts on this standard with the AI Standards Hub community here.
Share your thoughts on this standard with the AI Standards Hub community here.
Share your thoughts on this standard with the AI Standards Hub community here.
ITU-T Y.3181 (09/2022)
Architectural framework for machine learning sandbox in future networks including IMT-2020
Recommendation ITU-T Y.3181 provides an architectural framework for machine learning (ML) sandbox in future networks including IMT-2020. More precisely, it…
DIN SPEC 92001-3
Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 3: Explainability; Text in English
This document provides a domain-independent guide to appropriate approaches and methods to promote explainability throughout all stages of an AI…
BS 9347:2024
Facial recognition technology. Ethical use and deployment in video surveillance-based systems. Code of practice
Recommendation ITU-T Y.3603 describes the general concept of metadata and its utilization in a big data ecosystem. Also, this Recommendation…
Compared with the traditional network, Recommendation ITU-T Y.3656 can provide better integration and more intelligent capabilities, such as the capabilities…
