Search Results For Search is empty
ETSI GS ZSM 012 V 1.1.1
Zero-touch network and Service Management (ZSM) – Enablers for Artificial Intelligence-based Network and Service Automation
The work item will specify extensions and new capabilities (so-called ‘AI enablers’) for the ZSM framework reference architecture providing support…
ETSI GR ZSM 005 V 1.1.1
Zero-touch network and Service Management (ZSM) – Means of Automation
This work item will explore different existing means or approaches, to achieve automation. It will not address a survey of…
DIN SPEC 92005
Artificial Intelligence – Uncertainty quantification in machine learning; Text in English
This DIN SPEC has been developed within a DIN SPEC consortium. The document was developed and approved by organizations named…
ETSI TR 104031 V 1.1.1
Securing Artificial Intelligence (SAI) – Collaborative Artificial Intelligence
This work item covers security aspects of pervasive and collaborative artificial intelligence (AI) (e. g., federated learning, transfer learning, distributed…
Share your thoughts on this standard with the AI Standards Hub community here.
Share your thoughts on this standard with the AI Standards Hub community here.
Share your thoughts on this standard with the AI Standards Hub community here.
Share your thoughts on this standard with the AI Standards Hub community here.
ETSI GR SAI 007 V 1.1.1
Securing Artificial Intelligence (SAI) – Explicability and transparency of AI processing
The intent of this work item is to extend from the published work of SAI to address the issues of…
ETSI GR SAI 013 V 1.1.1
Securing Artificial Intelligence (SAI) – Proofs of Concepts Framework
The document provides information about the ‘lightweight’ framework to be used by ETSI ISG SAI to create multi-partner Proofs of…
This document outlines best practices on assessing security and privacy in artificial intelligence use cases, covering in particular those published…
ISO/IEC TS 25058:2024
Systems and software engineering – Systems and software Quality Requirements and Evaluation (SQuaRE) – Guidance for quality evaluation of artificial intelligence (AI) systems
This document provides guidance for evaluation of artificial intelligence (AI) systems using an AI system quality model. The document is…