A sawmill knot classifier must keep its agreed error band when 12% of frames are motion-blurred, when a share of labels in a dirty feed are skewed, and when the mill lights flicker for half a minute — it may degrade to a slower, coarser mode, but it must not crash or silently abandon the band. What acceptance criterion is that?

Short Explanation

Keep the agreed error band when 12% of frames are motion-blurred, labels are skewed, and mill lights flicker. A slower, coarser mode is allowed; a crash or a silent abandon of the band is not. That is AI robustness acceptance. Flicker is not a retarget time.

Full Explanation

Robustness acceptance keeps the agreed correctness band under hostile or broken inputs. It may allow a slower, coarser mode. Adaptability, transparency, and a binary ban on degradation miss that example.

×