本文件调查了人工智能系统中与可信度相关的主题，包括以下内容: -通过透明性、可解释性、可控性等建立对人工智能系统信任的方法人工智能系统的工程陷阱、典型相关威胁和风险，以及可能的缓解技术和方法；以及——评估和实现人工智能系统的可用性、弹性、可靠性、准确性、安全性、安全性和隐私性的方法。 人工智能系统的可信等级规范不在本文件范围内。购买本文件时可获得的所有当前修订均包含在购买本文件中。

This document surveys topics related to trustworthiness in AI systems, including the following: — approaches to establish trust in AI systems through transparency, explainability, controllability, etc.;— engineering pitfalls and typical associated threats and risks to AI systems, along with possible mitigation techniques and methods; and— approaches to assess and achieve availability, resiliency, reliability, accuracy, safety, security and privacy of AI systems. The specification of levels of trustworthiness for AI systems is out of the scope of this document.All current amendments available at time of purchase are included with the purchase of this document.