Site Search - AI Standards Hub

ISO/IEC 23053:2022/DAmd 1

Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) – Amendment 1: Generative AI (ISO/IEC 23053:2022/DAM 1:2025); German and English version EN ISO/IEC 23053:2023/prA1:2025

See more details

0 replies

0 followers

Draft

Last updated: 27 Apr 2026

Topics

Experiential Networked Intelligence (ENI) – Study on Multi-Agent Frameworks for Next-Generation Core Networks

Share your thoughts on this standard with the AI Standards Hub community here.

Last updated: 27 Apr 2026

Topics

Artificial intelligence – Functional safety and AI systems (ISO/IEC TR 5469:2024)

Share your thoughts on this standard with the AI Standards Hub community here.

Last updated: 27 Apr 2026

Topics

Intelligent transport systems. Telematics applications for regulated commercial freight vehicles (TARV) using ITS stations. Specification of the secure vehicle interface

Share your thoughts on this standard with the AI Standards Hub community here.

Last updated: 27 Apr 2026

Topics

Intelligent transport systems. Telematics applications for regulated commercial freight vehicles (TARV) using ITS stations. Secure vehicle interface framework and architecture

Share your thoughts on this standard with the AI Standards Hub community here.

Last updated: 27 Apr 2026

Topics

Information technology — Governance of data. Part 1: Application of ISO/IEC 38500 to the governance of data

Share your thoughts on this standard with the AI Standards Hub community here.

Last updated: 27 Apr 2026

Topics

Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) – Amendment 1: Generative AI

Share your thoughts on this standard with the AI Standards Hub community here.

Last updated: 27 Apr 2026

Topics

Quality Management in the Automotive Industry – Capability of Optical Sensors and Image Processing Systems

Share your thoughts on this standard with the AI Standards Hub community here.

Last updated: 27 Apr 2026

Topics

Information technology. Artificial intelligence. Requirements for bodies providing audit and certification of artificial intelligence management systems

Share your thoughts on this standard with the AI Standards Hub community here.

Last updated: 27 Apr 2026

Topics

Validation in GxP area – Usage of machine learning methods in pharmaceutical industry

Share your thoughts on this standard with the AI Standards Hub community here.

Last updated: 27 Apr 2026

VDI/VDE 3715 Blatt 3

Data as an asset – Identifying, analysing, measuring, and evaluating business data capital – Predictive maintenance

See more details

0 replies

0 followers

Published

Last updated: 27 Apr 2026

VDI/VDE-EE 3516 Blatt 7

Content Type

Search Results For Search is empty

Content Type

Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) – Amendment 1: Generative AI (ISO/IEC 23053:2022/DAM 1:2025); German and English version EN ISO/IEC 23053:2023/prA1:2025

Experiential Networked Intelligence (ENI) – Study on Multi-Agent Frameworks for Next-Generation Core Networks

Artificial intelligence – Functional safety and AI systems (ISO/IEC TR 5469:2024)

Intelligent transport systems. Telematics applications for regulated commercial freight vehicles (TARV) using ITS stations. Specification of the secure vehicle interface

Intelligent transport systems. Telematics applications for regulated commercial freight vehicles (TARV) using ITS stations. Secure vehicle interface framework and architecture

Information technology — Governance of data. Part 1: Application of ISO/IEC 38500 to the governance of data

Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) – Amendment 1: Generative AI

Quality Management in the Automotive Industry – Capability of Optical Sensors and Image Processing Systems

Information technology. Artificial intelligence. Requirements for bodies providing audit and certification of artificial intelligence management systems

Validation in GxP area – Usage of machine learning methods in pharmaceutical industry

Data as an asset – Identifying, analysing, measuring, and evaluating business data capital – Predictive maintenance

Validation in GxP area – Usage of machine learning methods in pharmaceutical industry

Report abuse

Report submitted

Provide feedback on the site

Feedback submitted

Submit a missing item

Feedback submitted