Tag: appropriate-reliance

Gamified progress signals can make AI recommendations feel more authoritative than they are. Good design separates workflow momentum from evidence that the machine is actually correct.

Calibrated trust means users rely on AI when evidence supports it, question it when uncertainty is high, and never confuse a confident interface with dependable capability.