The foreseen complexity in operating and managing 5G and beyond networks has propelled the trend toward closed-loop automation of network and service management operations. To this end, the ETSI Zero-touch network and Service Management (ZSM) framework is envisaged as a next-generation management system that aims to have all operational processes and tasks executed automatically, ideally with 100 percent automation. Artificial Intelligence (AI) is envisioned as a key enabler of self-managing capabilities, resulting in lower operational costs, accelerated time-tovalue and reduced risk of human error. Nevertheless, the growing enthusiasm for leveraging AI in a ZSM system should not overlook the potential limitations and risks of using AI techniques. The current paper aims to introduce the ZSM concept and point out the AI-based limitations and risks that need to be addressed in order to make ZSM a reality.

中文翻译：

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5G 及以后人工智能驱动的零接触网络和服务管理：挑战和研究方向


运营和管理 5G 及其他网络的可预见的复杂性推动了网络和服务管理运营闭环自动化的趋势。为此，ETSI 零接触网络和服务管理 (ZSM) 框架被设想为下一代管理系统，旨在自动执行所有操作流程和任务，理想情况下实现 100% 自动化。人工智能 (AI) 被认为是自我管理能力的关键推动者，可降低运营成本、加快价值实现时间并降低人为错误风险。然而，在 ZSM 系统中利用人工智能的热情日益高涨，不应忽视使用人工智能技术的潜在局限性和风险。本文旨在介绍 ZSM 概念，并指出为了使 ZSM 成为现实而需要解决的基于人工智能的局限性和风险。