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Framework for Balancing Autonomy and Traceability in AI Agent Orchestration
The paper presents a classification framework for orchestrating AI agents, particularly LLM-based ones, to balance their autonomy with robustness, tractability, and traceability. This approach integrates agent autonomy with process technology to improve business process management.
As AI agents become more autonomous, ensuring their actions remain robust and traceable is crucial for reliable business process management. This framework offers a structured way to manage AI agent orchestration, addressing key challenges in deployment.
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Score 81
Source Type arxiv
Reposts 0
Topic Quality 67
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