A cider-mill bruise grader cannot be accepted with “never wrong.” Legal and ops instead want a numeric error band, a timed seize, and a fairness gap, each with a threshold. What typical shape of AI acceptance is that?
Select an answer to reveal the explanation.
Short Explanation
Never wrong is not an AI acceptance line. A numeric error band, a timed seize, and a fairness gap each with a threshold is the typical shape: statistical, probabilistic, or threshold-based, tied to ISO/IEC 25059 characteristics plus safety. That is not a conventional binary pass/fail bit.
Full Explanation
AI acceptance criteria are bands and thresholds, not conventional binary pass/fail. They attach to 25059 characteristics and safety. A binary-only view, a Chapter 3 recalculation, or denying thresholds misses that shape.