This Recommendation describes the architecture, functional entities, and interfaces for a spontaneous dialogue processing system for language learning. © ITU…
AI-specific
DIN SPEC 92001-2
Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 2: Robustness
This DIN SPEC in accordance with the PAS procedure has been drawn up by a DIN SPEC (PAS)-consortium set up…
ITU-T Y.3179
Architectural framework for machine learning model serving in future networks including IMT-2020
This Recommendation provides an architectural framework for machine learning (ML) models serving in future networks including IMT-2020, i.e., preparing and…
BS 34971/AAMI CR 34971
Application of ISO 14971 to machine learning in artificial intelligence. Guide
What is BS AAMI 34971 – Application of ISO 14971 to machine learning in artificial intelligence – Guide about? Artificial…
Recommendation ITU-T Y.3172 specifies an architectural framework for machine learning (ML) in future networks including IMT-2020. A set of architectural…
This Recommendation specifies an architectural framework for network automation based on artificial intelligence (AI) for resource and fault management in…
This standard describes specific methodologies to help users certify how they worked to address and eliminate issues of negative bias…
CEN/CLC/JTC 21 N 148
AI-enhanced Nudging
This document provides definitions, concepts, and guidelines to address specifically AI-enhanced nudging mechanisms by organisations.It focuses on a standard that…
ETSI TS 128 105
5G – Management and orchestration – Artificial Intelligence/ Machine Learning (AI/ML) management (3GPP TS 28.105 version 17.0.0 Release 17)
Multimodal Conversation (MPAI-MMC) is an MPAI Standard comprising five Use Cases, all sharing the use of artificial intelligence (AI) to…
The MPAI AI Framework (MPAI-AIF) Technical Specification specifies architecture, interfaces, protocols and Application Programming Interfaces (API) of an AI Framework…
MPAI-CAE V1.4 is a collection of four Use Cases specifying AI based technologies for audio-related applications including entertainment, communication, post-production,…
