Mass autonomy promises to revolutionize a wide range of engineering, service, and mobility industries. Coordinating complex communication among hyperdense autonomous agents requires new artificial intelligence (AI)-enabled orchestration of wireless communication services beyond 5G and 6G mobile networks. In particular, safety and mission-critical tasks will legally require both transparent AI decision processes and quantifiable quality-of-trust (QoT) metrics for a range of human end users (consumer, engineer, and legal). We outline the concept of trustworthy autonomy for 6G, including essential elements such as how explainable AI (XAI) can generate the qualitative and quantitative modalities of trust. We also provide XAI test protocols for integration with radio resource management and associated key performance indicators (KPIs) for trust. The research directions proposed will enable researchers to start testing existing AI optimization algorithms and develop new ones with the view that trust and transparency should be built in from the design through the testing phase.

中文翻译：

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支持 6G 的大规模自治中值得信赖的深度学习：从概念到信任质量关键绩效指标

大规模自治有望彻底改变广泛的工程、服务和移动行业。协调超密集自治代理之间的复杂通信需要新的人工智能 (AI) 支持的无线通信服务编排，超越 5G 和 6G 移动网络。特别是，安全和关键任务在法律上需要透明的 AI 决策流程和可量化的信任质量 (QoT) 指标，适用于一系列人类最终用户（消费者、工程师和法律）。我们概述了 6G 可信赖自治的概念，包括基本要素，例如可解释人工智能 (XAI) 如何生成信任的定性和定量模式。我们还提供 XAI 测试协议，用于与无线电资源管理和相关的信任关键性能指标 (KPI) 集成。