ISO/IEC FDIS 5259-4
ISO/IEC 5259-4
AI-specific
CEN/CLC/JTC 21 N 147
Artificial Intelligence – Overview of AI tasks and functionalities related to natural language processing
This document discusses the concept of task in the case of AI applied to natural language, and proposes a landscaping…
ISO/IEC DIS 5259-1
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 1: Overview, terminology, and examples
This document provides the landscape for understanding and associating of “Data quality for analytics and ML” series and guides the…
ISO/IEC FDIS 5259-2
ISO/IEC NP 5259-2
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures
This document provides a data quality model, data quality measures, and guidance on reporting data quality in the context of…
ISO/IEC FDIS 5259-3
ISO/IEC NP 5259-3
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data quality management requirements and guidelines
This document specifies requirements and provides guidance for establishing, implementing, maintaining and continually improving the quality for data used in…
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…
This document gives a general model and interaction model based on the user interface of emotion computing, describing emotion representation,…
DIN SPEC 92001-1
Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 1: Quality Meta Model
This DIN SPEC in accordance with the PAS procedure has been drawn up by a DIN SPEC (PAS)-consortium set up…
This Recommendation describes the architecture, functional entities, and interfaces for a spontaneous dialogue processing system for language learning. © ITU…
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…
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…
