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 003 V 1.1.1 - Experiential Networked Intelligence (ENI) - Context-Aware Policy Management Gap Analysis



A critical foundation of experiential networked intelligence is context- and situation-awareness. This WI will analyse work done in various SDOs on network policy management in general, and context-aware network policy management specifically, to determine what can be reused and what needs to be developed. The requirements documented in this report will be considered during the architecture design work © 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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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.