Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security 事件

Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security arXiv:2605.23989v1 Announce Type: cross Abstract: Agentic AI systems -- Large Language Models (LLMs) augmented with planning, tool use, memory, and long-horizon interactions -- can execute complex tasks autonomously, but their multi-step trajectories introduce new failure modes that challenge trustworthiness. This survey provides a focused examination of trustworthy agentic AI through two