AIBullisharXiv – CS AI · Mar 126/10
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Designing Service Systems from Textual Evidence
Researchers developed PP-LUCB, an algorithm that efficiently identifies optimal service system configurations by combining biased AI evaluation with selective human audits. The method reduces human audit costs by 90% while maintaining accuracy in selecting the best performing systems from textual evidence like customer support transcripts.