AI-specific Archives - Page 27 of 69

This document specifies requirements and provides guidance for establishing, implementing, maintaining and continually improving the quality for data used in…

Published

Last Updated: 16 Mar 2025

ISO/IEC FDIS 5259-4 ISO/IEC 5259-4

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework

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Horizontal AI-specific Data management Data quality

Process, management and governance

Published

Last Updated: 16 Mar 2025

CEN/CLC/JTC 21 N 147

Artificial Intelligence – Overview of AI tasks and functionalities related to natural language processing

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Horizontal AI-specific NLP Foundational and terminology See more

This document discusses the concept of task in the case of AI applied to natural language, and proposes a landscaping…

Pre-draft

Last Updated: 19 Jul 2024

GB/T 40691

Artificial intelligence – Affective computing user interface – Model

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Horizontal AI-specific Human-computer interaction Interface and architecture See more

This document gives a general model and interaction model based on the user interface of emotion computing, describing emotion representation,…

Published

Last Updated: 18 Jul 2024

DIN SPEC 92001-1

Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 1: Quality Meta Model

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Horizontal AI-specific Accuracy and performance Explainability and transparency

Risk management Robustness Safety System lifecycle System quality Process, management and governance

This DIN SPEC in accordance with the PAS procedure has been drawn up by a DIN SPEC (PAS)-consortium set up…

Published

Last Updated: 18 Jul 2024

ITU-T F.746.10

Architecture for a spontaneous dialogue processing system for language learning

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Horizontal AI-specific Interoperability System architecture

NLP - Speech recognition Interface and architecture

This Recommendation describes the architecture, functional entities, and interfaces for a spontaneous dialogue processing system for language learning. © ITU…

Published

Last Updated: 18 Jul 2024

DIN SPEC 92001-2

Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 2: Robustness

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Horizontal AI-specific Robustness System lifecycle

System quality Product and performance requirements

This DIN SPEC in accordance with the PAS procedure has been drawn up by a DIN SPEC (PAS)-consortium set up…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3179

Architectural framework for machine learning model serving in future networks including IMT-2020

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Internet of things Smart cities Telecom and network-based services AI-specific

Interoperability System architecture Interface and architecture

This Recommendation provides an architectural framework for machine learning (ML) models serving in future networks including IMT-2020, i.e., preparing and…

Published

Last Updated: 18 Jul 2024

BS 34971/AAMI CR 34971

Application of ISO 14971 to machine learning in artificial intelligence. Guide

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Healthcare and medicine - Medical devices AI-specific Data protection Organisational governance

Risk management Security and resilience Process, management and governance

What is BS AAMI 34971 – Application of ISO 14971 to machine learning in artificial intelligence – Guide about? Artificial…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3172

Architectural framework for machine learning in future networks including IMT-2020

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Telecom and network-based services AI-specific Interoperability System architecture

Interface and architecture

Recommendation ITU-T Y.3172 specifies an architectural framework for machine learning (ML) in future networks including IMT-2020. A set of architectural…

Published

Last Updated: 18 Jul 2024

Content Type

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 1: Overview, terminology, and examples

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data quality management requirements and guidelines

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework

Artificial Intelligence – Overview of AI tasks and functionalities related to natural language processing

Artificial intelligence – Affective computing user interface – Model

Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 1: Quality Meta Model

Architecture for a spontaneous dialogue processing system for language learning

Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 2: Robustness

Architectural framework for machine learning model serving in future networks including IMT-2020

Application of ISO 14971 to machine learning in artificial intelligence. Guide

Architectural framework for machine learning in future networks including IMT-2020

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