Mitigating human review bottlenecks in AI evaluation pipelines: A queueing theory approach
Human review stages in AI-assisted evaluation pipelines can become throughput bottlenecks when automated upstream processes generate cases faster than reviewers can assess them—a problem acute when information availability varies across client types, a form of structural information asymmetry whose operational conseque...