Building Trust Signals into AI Writing Features

Building user trust in AI writing features requires more than technically functional output. Key practices include showing users what the tool did and what sources it used, distinguishing AI-generated drafts from verified facts with clear labels, providing structured feedback mechanisms beyond simple thumbs up/down, and maintaining version history that tracks original input, generated drafts, human edits, and approvals. These trust signals keep users in control and make the system's limitations visible at the moment they matter most.

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