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Bibliographic Details
Main Authors: Xing, Liudong, Janet, Lin
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2511.11921
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author Xing, Liudong
Janet
Lin
author_facet Xing, Liudong
Janet
Lin
contents This chapter presents perspectives for challenges and future development in building reliable AI systems, particularly, agentic AI systems. Several open research problems related to mitigating the risks of cascading failures are discussed. The chapter also sheds lights on research challenges and opportunities in aspects including dynamic environments, inconsistent task execution, unpredictable emergent behaviors, as well as resource-intensive reliability mechanisms. In addition, several research directions along the line of testing and evaluating reliability of agentic AI systems are also discussed.
format Preprint
id arxiv_https___arxiv_org_abs_2511_11921
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Looking Forward: Challenges and Opportunities in Agentic AI Reliability
Xing, Liudong
Janet
Lin
Artificial Intelligence
Emerging Technologies
Performance
This chapter presents perspectives for challenges and future development in building reliable AI systems, particularly, agentic AI systems. Several open research problems related to mitigating the risks of cascading failures are discussed. The chapter also sheds lights on research challenges and opportunities in aspects including dynamic environments, inconsistent task execution, unpredictable emergent behaviors, as well as resource-intensive reliability mechanisms. In addition, several research directions along the line of testing and evaluating reliability of agentic AI systems are also discussed.
title Looking Forward: Challenges and Opportunities in Agentic AI Reliability
topic Artificial Intelligence
Emerging Technologies
Performance
url https://arxiv.org/abs/2511.11921