Recall human-AI controls and when to use them
What is calibrated trust? Helping users rely on AI when strong and question it when evidence or context is weak. Use provenance, missing-data chips, confidence cues, and review affordances. “Users want one-click automation, so review is friction.” Your line Remove review only where consequence is low, reversible, and reliability is measured. Treating all friction as bad ignores protective review. It reframes friction as risk placement. Open chat or guided workflow? Choose by user job and consequence. What control belongs before external send? Human approval with visible summary of model-produced changes. External impact raises consequence.
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