Post by Welo Data

If your training data had a contributor integrity problem, would your QA process catch it?   Annotation accuracy and contributor integrity are different failure modes, and the second one doesn't show up in the metrics you're already watching. It shows up later, in the model, when tracing it back is expensive and usually incomplete.   Welo Data's latest piece on why integrity at the contributor level will define which AI systems earn long-term trust, and what it actually takes to maintain it. Read the full article below 👇