Looking Forward: Challenges and Opportunities in Agentic AI Reliability
It identifies open problems for researchers in AI reliability, but is incremental as it reviews existing challenges without presenting new solutions.
The chapter discusses challenges and future directions for building reliable agentic AI systems, focusing on mitigating risks like cascading failures and addressing issues in dynamic environments and unpredictable behaviors.
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.