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arXiv· arXiv:2504.02406· Juan Parra-Ullauri, Xueqing Zhou, Shadi Moazzeni, Rasheed Hussain, Xenofon Vasilakos, Yulei Wu, Renjith Baby, M M Hassan Mahmud, Gabriele Incorvaia, Darryl Hond, Hamid Asgari, Andrea Tassi, Daniel Warren, Dimitra Simeonidou·Indexed by this site · Originally published

Lifecycle Management of Trustworthy AI Models in 6G Networks: The REASON Method

Lifecycle Management of Trustworthy AI Models in 6G Networks: The REASON Approach

AI summary

The REASON method proposes a full-lifecycle management scheme for trustworthy AI models in 6G networks. Within it, AI orchestration (AIO) manages the model lifecycle, cognition (COG) handles performance evaluation and explanation, and AI monitoring (AIM) performs tracking and feedback. The method uses digital twins (DT) to achieve real-time monitoring and scenario testing, and validates, explains and deploys trustworthy AI models on the DT platform through an AI-enabled xAPP use case.

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