AI-specific Archives - Page 20 of 53

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

Draft

Last Updated: 18 Jul 2024

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

Draft

Last Updated: 18 Jul 2024

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

Content Type

Artificial intelligence — Quality evaluation guidelines for AI systems

Artificial intelligence (AI) — Assessment of the robustness of neural networks — Part 2: Methodology for the use of formal methods

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 5: Data quality governance

Artificial intelligence — Functional safety and AI systems

Artificial Intelligence (AI) – Assessment of the robustness of neural networks – Part 1: Overview

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

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