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.3116 - Traffic typization IMT-2020 management based on an artificial intelligence approach



At present, the standardization of IMT-2020 networks aims at dealing with architectural issues (infrastructure and new services), analysing and ensuring signalling at the management level and ensuring the quality and security of IoT services. As is well known, according to ITU-R Recommendation ITU-R M.2083-0 "IMT Vision – Framework and overall objectives of the future development of IMT for 2020 and beyond", one of the IMT-2020 infrastructure technologies is software-defined networking (SDN). Given the heterogeneous nature of the traffic, it is necessary to ensure efficient and effective infrastructure management. With a view to increasing the effectiveness of the automation of management, the use of artificial intelligence (AI) technologies needs to be considered for traffic detection and typization. In this way, Recommendation ITU-T Y.3116 considers an overview of machine learning (ML) technologies for traffic detection and a method for the traffic typization and recognition for IMT-2020 management based on an ML approach.  

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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
  • management

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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.