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.3177 - Architectural framework for artificial intelligence-based network automation for resource and fault management in future networks including IMT-2020
This Recommendation specifies an architectural framework for network automation based on artificial intelligence (AI) for resource and fault management in future networks, including international mobile telecommunications-2020 (IMT-2020). The purpose of the framework is to improve network efficiency and maintain quality of service (QoS) by continuously monitoring the network and promptly determining appropriate actions by using AI, including machine learning (ML). The scope of this Recommendation includes:
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.
- high-level architecture of network automation for resource and fault management with AI including ML;
- resource management functions;
- fault management functions.
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
- Security and resilience
- Accuracy and performance
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