Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

ETSI GR ENI 008 V 2.1.1 - Experiential Networked Intelligence (ENI) - InTent Aware Network Autonomicity (ITANA)



This document will discuss various design options, in terms of a set of new stand-alone and/or nested Functional Blocks, for using intent with the ENI System Architecture. This includes accepting, translating and validating intent statements, determining how intent affects the goals and operation of the ENI system, and how it is used by business users, application developers, and network administrators. This document provides a set of recommendations and conclusions whose main scope is GS ENI 005 [i.1] Rel 2. However, the contents of this document also affect other GSs and GRs(e. g., ENI 001, ENI 002 [i.2], and ENI 004 [i.3]). © Copyright 2023, ETSI

The information about this standard has been compiled by the AI Standards Hub, an initiative dedicated to knowledge sharing, capacity building, research, and international collaboration in the field of AI standards. You can find more information and interactive community features related to this standard by visiting the Hub’s AI standards database here. To access the standard directly, please visit the developing organisation’s website.

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  • System architecture
  • Interoperability

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.