Does ownership framing change how much writers rely on AI?
When writers believe they own the final output versus composing for themselves, do they use AI suggestions differently? Understanding this matters because it reveals whether reliance is driven by tool capability or by how tasks are framed.
This study builds an assessment method for human-AI collaborative writing: evidence-centered design supplies the claims (knowledge-telling, knowledge-transformation, cognitive presence), CoAuthor interaction logs supply the evidence, and epistemic network analysis makes inferences from process data. Comparing writers across conditions, it finds statistically significant differences driven by ownership and prompt type: writers who had ownership over the final product relied more on AI suggestions, while those framed around user ownership focused on composing and revising their own writing; creative prompts drew more exploration of AI suggestions, argumentative prompts drew more own-composition with small edits to AI text.
The keeper is the ownership→reliance coupling: how a writing task is framed (who owns the output) measurably changes how much a person offloads to the AI, independent of the tool's capability. Reliance is a function of the social framing of authorship, not just of suggestion quality — a lever for designing co-writing tools and for assessing learning.
This is a process-level complement to the vault's authorship thread. It grounds Do users truly own the AI-generated content they produce? with reliance data — ownership framing shifts the process, which is exactly where that dissociation lives — and it connects to Do AI-assisted outputs fool users about their own skills?: heavier AI reliance under "ownership" framing is the behavioral substrate of the misattribution.
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Do users truly own the AI-generated content they produce?
When people use AI to create outputs, do they experience genuine authorship and ownership of what's produced, or does the continuous interaction loop create a gap between what they feel and what they claim?
ownership framing shifts the writing *process*, where that dissociation lives
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Do AI-assisted outputs fool users about their own skills?
When people use AI tools to produce high-quality work, do they mistakenly believe they personally possess the skills that generated it? This matters because such misattribution could mask genuine skill loss and prevent corrective action.
heavier reliance under ownership framing is the behavioral substrate of misattribution
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How do writers use AI through different creative stages?
This study explores whether writers deploy large language models differently depending on their creative needs—from generating initial ideas to organizing thoughts to drafting final text. Understanding these patterns reveals how humans and AI can complement each other's strengths.
adjacent process model of co-writing; this adds the ownership/reliance dimension
Related papers in this collection 8
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- Measuring and Mitigating Persona Distortions from AI Writing Assistance
- Evidence-centered Assessment for Writing with Generative AI
- StoryScope: Investigating idiosyncrasies in AI fiction
- The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows
- GhostWriter: Augmenting Collaborative Human-AI Writing Experiences Through Personalization and Agency
- We Are All Creators: Generative AI, Collective Knowledge, and the Path Towards Human-AI Synergy
- Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing?
- TaleStream: Supporting Story Ideation with Trope Knowledge
Original note title
in human-AI co-writing ownership over the final product determines reliance — owners lean on AI suggestions while non-owners compose their own text