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 Supplement 63 - Unlocking Internet of things with artificial intelligence



As the IoT system continues to expand within the urban realm in keeping with smart sustainable city aspirations, the need to manage big data and establish a self-sustaining urban ecosystem is of paramount importance. In order to create value for the community, IoT data must be translated into information and knowledge by leveraging data analytics and AI. Accordingly, this Supplement examines how artificial intelligence could bolster urban stakeholders' ability to deploy IoT technologies effectively and eventually transition to smart sustainable cities. 
The main elements examined in this Supplement are:

  • The various technological implementations of AI that will facilitate smart city transformations; 
  • The role played by AI in managing the data generated within the IoT realm and urban spaces; 
  • The main benefits of adopting AI and delving into how this technology could be leveraged to attain Sustainable Development Goals (SDGs).

© 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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  • Data processing
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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.