Original title: The prose penalty in AI-assisted authorship
Faisal Feroz, Ivar Rodríguez Hannikainen, Jim AC Everett, Sebastian Porsdam Mann +1 · September 2026
People use artificial intelligence to help them write, but it is unclear when they still deserve credit as the author. Researchers studied how people judge authorship when a writer gets help. They had people evaluate writers who either worked alone or handed off specific tasks, like brainstorming, outlining, drafting sentences, editing, fact-checking, or all five jobs, to an AI or a human helper. People took away some credit whenever a writer passed off any step. However, having someone else write the actual prose caused the biggest loss of credit by far. This penalty happened whether the helper was an AI or a human. Observers tied credit directly to the originality each task required, not the effort or skill. Writing quality was also rated lower when an AI helped instead of a human. Finally, training an AI on the writer's own past work helped restore some lost credit and quality.
Imagine you are baking a cake for a contest. You mix the batter yourself, but you ask a friend to actually bake it in the oven. The judges might say you didn't really make the cake—even though you did all the preparation. Here, the researchers found that if you ask someone else (or an AI) to write the actual sentences, readers give you less credit as the author, no matter who does the writing. But if you only ask for help with ideas or checking facts, you still get full credit.
If you use AI to brainstorm or fact-check, readers still see you as the author. But if you let AI write the prose, they stop seeing you as the author—even if a human assistant wrote it. This means authorship credit depends less on effort and more on perceived originality, and using a personalized AI can partly restore that credit.
The abstract doesn't explicitly list limitations, but it notes that personalization only partially reduces the prose penalty, implying it does not fully restore credit. The studies used US participants only and a single writing passage, so cultural differences and real-world multi-author projects are not examined.
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The prose penalty in AI-assisted authorship — Faisal Feroz, Ivar Rodríguez Hannikainen, Jim AC Everett et al. — PsyArXiv — doi:10.31234/osf.io/r3t59_v1
Abstract licence: CC BY
Explanation generated by Synthesis from the abstract — it is not the original paper. This is a preprint, so it hasn't necessarily been peer reviewed.