Explainable AI for 6G Communication Networks

Artificial intelligence is increasingly integrated into future communication networks, yet many AI models operate as opaque black boxes, raising concerns about reliability, transparency, and security. For 6G, semantic communication, cognitive networking, and integrated sensing-communication systems, explainability is essential to ensure trustworthy decision-making and safe deployment. This Research Topic focuses on explainable and trustworthy AI techniques tailored for communication and networking systems. It invites contributions on interpretable model design, transparent network optimization, digital twin–based explainability, explainable multi-agent systems, and practical frameworks that enhance robustness, fairness, and trust. The aim is to advance transparent, reliable, and accountable AI to support next-generation intelligent networks. Topic editors: Mingkai Chen, Ruirui Chen, Han Xiao Source: https://www.frontiersin.org/research-topics/77265/explainable-ai-for-6g-communication-networks