Explainable Reinforcement and Causal Learning for Improving Trust to 6G Stakeholders

Explainable Reinforcement and Causal Learning for Improving Trust to 6G Stakeholders

Future telecommunications will increasingly integrate AI capabilities into network infrastructures to deliver seamless and harmonized services closer to end-users. However, this progress also raises significant trust and safety concerns. The machine learning systems orchestrating these advanced serv...

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Bibliographic Details
Main Authors: Miguel Arana-Catania, Amir Sonee, Abdul-Manan Khan, Kavan Fatehi, Yun Tang, Bailu Jin, Anna Soligo, David Boyle, Radu Calinescu, Poonam Yadav, Hamed Ahmadi, Antonios Tsourdos, Weisi Guo, Alessandra Russo
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
6G
explainable AI
reinforcement learning
trust
stakeholders
causal learning
Online Access:https://ieeexplore.ieee.org/document/10973290/
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https://ieeexplore.ieee.org/document/10973290/

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