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Trustworthy Agentic AI: A Survey and Taxonomy of Secure Coordination and Hallucination Mitigation in Multi-Agent Large Language Model Systems by International Journal of Innovative Science and Research Technology is a document available to read on EtoBox.

What is Trustworthy Agentic AI: A Survey and Taxonomy of Secure Coordination and Hallucination Mitigation in Multi-Agent Large Language Model Systems about?

This paper surveys the evolution of large language model (LLM)-based agentic systems and addresses the risks of hallucination propagation in multi-agent workflows. It proposes a seven-layer trust taxonomy and six secure-coordination design patterns to enhance the reliability and security of these systems. The findings aim to provide practical guidance for building trustworthy agentic AI in both research and enterprise contexts.

Author

International Journal of Innovative Science and Research Technology

Language

EN