Building User Trust in AI Products: The Accuracy Paradox

AI products face a critical trust challenge: users demand higher accuracy standards than they do from human colleagues, despite AI systems often outperforming humans. Product managers must design onboarding experiences that mitigate cognitive biases against AI through low-value task starts, human-in-the-loop verification, transparent citations, and demonstrated small wins to establish credibility.