Co-writers want to see each other's AI use so they can check it; public posters often hide it, since readers judge them by it.

This explores why people writing together in shared editors want to see each other's AI use, while people publishing to a wider audience tend to hide it. The corpus suggests the difference comes from who is looking and what they do with what they see. In a shared editor, a collaborator uses visibility to get work done. Writers paired in shared documents preferred editors that showed more of each other's prompting, because knowing when, where and how AI was used helped them follow a partner's thinking and check AI-generated passages before building on them Do writers want to see each other's AI prompts in shared editors?. Even there, full exposure could feel intrusive and make writers self-conscious. Visibility is welcome only up to a point, even among teammates.

Outside the team, disclosure stops being a coordination tool and becomes a signal that others judge you by. Across four experiments with more than 4,000 people, AI users expected to be seen as less competent and less diligent, and that expectation made them less willing to tell managers and colleagues Do people fear judgment when they use AI at work?. Their fear has some basis. When audiences know AI was involved, they read more critically Does telling people an AI wrote something actually stop them from believing it?. The climate is harsh enough that even fully human writers get accused of using AI, and those accusations seem to work more as gatekeeping than as real detection Do unfounded AI accusations harm human writers instead?. In that setting, admitting AI use means volunteering for a penalty that people already hand out on suspicion alone.

Writers and readers also disagree about when disclosure is needed. Readers consistently rate disclosure as more necessary than writers do, especially when AI text was pasted in directly and couldn't easily be replaced Do readers and writers differ on AI disclosure necessity?. The gap widens in a surprising way when the writer steered the AI less deliberately: readers then want disclosure more, while writers feel it matters less Why do readers and writers disagree on disclosure necessity?. That loosely fits research on ownership, where people feel more authorship over AI text the more they shaped it Does user control over AI text shape feelings of ownership?. Collaborators can watch the steering happen, so the process answers the question for them. A public reader only sees the finished text and fills in the blanks with suspicion.

The interesting part is repetition. One study found that people initially avoid an AI partner once its identity is revealed, but that bias reverses after repeated interactions where they can see the results Does revealing AI identity help or hurt user trust?. Co-writers get exactly that kind of repeated feedback. They see the AI-assisted paragraphs work, or fail, draft after draft. A public audience usually gets a single exposure, so the first-impression penalty is never corrected. Readers with higher AI literacy also show a smaller drop in how they see the writer after disclosure Does AI literacy reduce the damage from AI disclosure?, which hints that the penalty is about familiarity rather than anything fixed.

One caution: the corpus has no study of public posters specifically, such as social media users or bloggers. The 'avoid it' half of the question rests mostly on workplace and vignette studies, so treat it as a well-supported inference rather than a direct finding. Hiding may also be less effective than posters think. Writing-process data shows that wholesale delegation to AI leaves a recognizable burst-like signature, while ordinary light assistance looks like normal writing Can process data distinguish AI delegation from ordinary collaboration?. The heavy use people most want to hide is the kind that leaves the clearest trace.