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.

ITU-T Y.4470 - Reference architecture of artificial intelligence service exposure for smart sustainable cities



This Recommendation establishes the concept of artificial intelligence service exposure (AISE) for smart sustainable cities (SSCs). 
The scope of this Recommendation includes for AISE:

  • the concept, analysis of common characteristics and high-level requirements;
  • reference architecture and relevant common capabilities. 

In addition, working modes for AISE to supply AI capabilities to SSC services are provided. Use cases are given in appendices. © ITU 2022 All rights reserved

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
  • Interoperability
  • data sharing

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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.