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.

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ETSI GR ENI 016 V 2.1.1 - Experiential Networked Intelligence (ENI) - Functional Concepts for Modular System Operation

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The purpose of the present document is to provide information on software design principles for constructing modular systems to be applied to the ENI reference system architecture (and any other applicable ETSI reports or standards). This will cover common concepts such as Functional Block design, state machines, cognition, inferencing, along with communication between different domains © 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
  • Data collection

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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.