Recommendation ITU-T Y.3654 specifies the mechanisms of machine learning in big data driven networking (bDDN). A set of related aspects…
International
Recommendation ITU‑T Y.3602 describes a model and operations for big data provenance. This Recommendation also provides the functional requirements for…
IEC 62243:2012 * IEEE Std 1232-2010
Artificial intelligence exchange and service tie to all test environments (AI-ESTATE)
Data interchange and standard software services for test and diagnostic environments are defined by Artificial Intelligence Exchange and Service Tie…
New broadcasting technologies driven by artificial intelligence (AI) are being introduced to the broadcasting workflow. These technologies are intended to…
ISO/TR 23087:2018
Automation systems and integration – The Big Picture of standards
What is this standard about? This document is the reference framework for the Big Picture project. The Big Picture aims…
ISO/IEC TR 5469:2024
PD ISO/IEC TR 5469:2024
Artificial intelligence — Functional safety and AI systems
ISO/IEC AWI TS 5471
Artificial intelligence — Quality evaluation guidelines for AI systems
This document provides guidelines for evaluation of AI systems using an AI system quality model. The document is applicable to…
ISO/IEC 24029-2:2023
Artificial intelligence (AI) — Assessment of the robustness of neural networks — Part 2: Methodology for the use of formal methods
ISO/IEC TR 24029-1:2021
Artificial Intelligence (AI) – Assessment of the robustness of neural networks – Part 1: Overview
This document provides background about existing methods to assess the robustness of neural networks. © ISO/IEC 2022 All rights reserved
ISO/IEC DIS 5259-5
ISO/IEC NP 5259-5
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 5: Data quality governance
This document provides a data quality governance framework for analytics and machine learning to enable governing bodies of organizations to…
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…
