Monitoring AI Quality (Without a Data Science Team)

Quick Summary

A business team can monitor AI quality with a clear rubric, representative examples, correction tracking, and regular sampling. The goal is to detect useful and harmful changes before users lose trust.

What you will learn

·Define a plain-language quality rubric tied to the business task
·Build a representative test set and ongoing review sample
·Track correction, severity, segment, and trend without advanced statistics