一篇新的研究论文提出了一种在受监管行业中运行的人工智能智能体的“构建合规性”范式。该论文认为，像法规和合规性约束这样的符号结构应该被整合到智能体的核心架构中，而不仅仅是作为外部监控。这种方法旨在防止自动化质量管理过程中的控制流违规和语义错误。 AI
影响 提出了一种在受监管环境中人工智能智能体的新架构范式，旨在提高安全性和合规性。
排序理由 该集群包含一篇在arXiv上发表的研究论文。
在 arXiv cs.MA (Multiagent) 阅读 →
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arXiv:2606.13405v1 Announce Type: new Abstract: LLM-based agents are entering regulated industries where they automate judgment intensive quality management processes. We argue that symbolic structures already embedded in these domains, including regulations, typed process models…
LLM-based agents are entering regulated industries where they automate judgment intensive quality management processes. We argue that symbolic structures already embedded in these domains, including regulations, typed process models, and compliance constraints, should be treated …