Trust in AI agents has been extensively studied in the literature, resulting
in significant advancements in our understanding of this field. However, the
rapid advancements in Large Language Models (LLMs) and the emergence of
LLM-based AI agent frameworks pose new challenges and opportunities for further
research. In the field of process automation, a new generation of AI-based
agents has emerged, enabling the execution of complex tasks. At the same time,
the process of building automation has become more accessible to business users
via user-friendly no-code tools and training mechanisms. This paper explores
these new challenges and opportunities, analyzes the main aspects of trust in
AI agents discussed in existing literature, and identifies specific
considerations and challenges relevant to this new generation of automation
agents. We also evaluate how nascent products in this category address these
considerations. Finally, we highlight several challenges that the research
community should address in this evolving landscape.

研究文献中广泛探讨了对 AI 代理的信任问题，随着大型语言模型和基于此模型的 AI 代理框架的快速发展，面临着新的挑战和研究机会。本文研究了新一代基于 AI 的代理在流程自动化领域崛起的新挑战和机遇，分析了现有文献中讨论的 AI 代理信任的主要方面，并确定了与这一新代理代际相关的具体考虑和挑战。同时，我们评估了该类别中新产品如何解决这些考虑因素，并强调研究界应在这一不断演变的领域中解决的几个挑战。