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 001 V 1.1.1 - Experiential Networked Intelligence (ENI) - ENI use cases



The WI will identify and describe use cases and scenarios that are enabled with enhanced experience, through the use of network intelligence. The use cases and scenarios will detail where the intelligence can be applied in the fixed network, mobile network, or both. The report will give the baseline on how the studies in ENI will substantially benefit the operators and other stakeholders. © 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.