作者
Chen Li, Weisi Guo, Schyler Chengyao Sun, Saba Al-Rubaye, Antonios Tsourdos
发表日期
2020/9/30
期刊
IEEE Vehicular Technology Magazine
卷号
15
期号
4
页码范围
112-121
出版商
IEEE
简介
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 …
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