Ticket-routing preprint examines when AI should hand decisions to people

The authors compare trained classifiers and prompted language models under explicit costs for correct routing, human triage and mistakes. Their abstract reports that abstention policies can reduce routing cost, while better calibration alone need not improve a model's ability to distinguish correct answers. The findings are limited to the tested dataset, prompts and illustrative costs.