JT021008
Process, management and governance
JT021024
AI Risk Management
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…
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 SAI 011 V 1.1.1
Securing Artificial Intelligence (SAI) – Automated Manipulation of Multimedia Identity Representations
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…
This document outlines best practices on assessing security and privacy in artificial intelligence use cases, covering in particular those published…
ITU-T X Suppl. 37 (09/2022)
ITU-T X.1231 – Supplement on countering spam based on machine learning
Supplement 37 to Recommendation ITU-T X.1231 defines a technical framework for countering spam based on machine learning (ML). It may…
Recommendation ITU-T M.3383 introduces the requirements for log analysis in telecom management with artificial intelligence (AI) and includes a functional…
