AI support shifts perceived attribution of ideas and text toward the AI, most strongly for AI-generated drafts, and an AI draft based on the writer's own outline contributed more ideas than expected (27%).¶

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · no dated study recorded · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? An AI-generated draft based on participants' own outline produced more ideas attributed to AI than expected (27%). → draft-ideas

Evidence¶

draft-ideas¶

Katy Ilonka Gero, Tao Long, Carly Schnitzler, and Paramveer S. Dhillon. 2026. From Planning to Revision: How AI Writing Support at Different Stages Alters Ownership. In Designing Interactive Systems Conference (DIS '26), June 13–17, 2026, Singapore, Singapore. ACM, New York, NY, USA. https://doi.org/10.1145/3800645.3813003

q3 · i? · causal · r2

In the same experiment's RQ2 results, the ai draft condition's idea attribution (27%) exceeded expectations, indicating "the drafting stage is not necessarily one of simply “filling in” an outline, but a stage in which ideas are developed." The 27% figure is as printed.

"Additionally, an AI-generated draft based on participants’ own outline producedmoreideas than expected (27%); one might imagine that an outline could contain all the ideas necessary to write an essay but we found this was not necessarily the case."

Discussion¶

Related Claims¶

• Essay quality was highest for AI-generated drafts and lowest with no AI, negatively correlated with ownership, suggesting an ownership-quality tradeoff. — related
• Planning-stage AI ideas were often redundant with or rejected in favor of writers' own ideas: idea attribution was 17.8% among users versus 2.9% among non-users, but ownership did not differ between users and non-users within ai plan. — related
• In this experiment, drafts—human-written or AI-generated—anchored the final essay, with AI-generated drafts revised somewhat more but underlying phrases largely retained across conditions. — related
• Any AI writing support decreases feelings of ownership compared to no AI support, with ownership following a gradient by stage (highest with no AI, then planning, revision, and AI-generated draft lowest). — related
• AI support during drafting lowers ownership substantially more than support during planning or revision, and planning support preserves more ownership than revision support. — related
• Experimental-group students framed AI as a flexible writing scaffold supporting their own composing rather than a substitute for authorship — related
• Synchronous AI suggestions shape subsequent writing, offering new ideas but risking influence over the writer's voice and argument — related
• LLM-group participants reported low ownership of their essays and fell behind in their ability to quote from essays written minutes earlier — related
• Evaluators attribute substantially less ownership to writers who used GenAI ideas, but impose only a marginal profit-sharing penalty — related
• AI ghostwriter effect: users do not claim ownership of AI-generated texts yet fail to publicly acknowledge the AI's contribution — related