Recommendation ITU‑T Y.3602 describes a model and operations for big data provenance. This Recommendation also provides the functional requirements for…
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BS 10102-2:2020
Big data. Guidance on data-intensive projects
This part of BS 10102 provides guidance on good practice for implementing data-intensive projects to realize value, including: a) defining…
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…
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 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 TR 5469:2024
PD ISO/IEC TR 5469:2024
Artificial intelligence — Functional safety and AI systems
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 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…
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…
