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.3176 - Machine learning marketplace integration in future networks including IMT-2020



This Recommendation provides high-level requirements and the architecture for integration of ML marketplaces in future networks including IMT-2020. 
The scope of this Recommendation includes: 

  • The main motivations and challenges related to ML marketplace integration in networks,
  • High level requirements of ML marketplace integration, 
  • Architecture for the integration of ML marketplaces in networks. 

© 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.

About the tool



Tool type(s):


Objective(s):


Type of approach:



Usage rights:


Geographical scope:


Tags:

  • Interoperability

Modify this tool

Use Cases

There is no use cases for this tool yet.

Would you like to submit a use case for this tool?

If you have used this tool, we would love to know more about your experience.

Add use case
catalogue Logos

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.