AI 辅助日常任务中的归属感：NeurIPS 2026 工作坊研究

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Abstract:When does work done with AI still feel like ours? As AI becomes woven into everyday tasks, we must examine what happens to our sense of ownership and contribution when a machine shares in producing what we make. We report an exploratory qualitative survey in which participants were asked to describe two recent, self-selected tasks completed with AI: one that felt like their own and one that did not. We find that felt ownership depends on the process of collaboration: people disown work when they merely approve AI's suggestions, but retain ownership when they lead, iterate, or rewrite. Ownership can also extend to settings where people own the vision for a project but not the execution; respondents reported high ownership on tasks they could not have completed without AI. Loss of personal voice and a lack of comprehension of the output both erode ownership. Finally, willingness to disclose AI use is often decoupled from actual pride or ownership, and instead shaped by community norms and fear of credit erasure. We propose several research directions as a result of these findings to promote AI development that supports people's sense of authorship over their own lives.

Comments:	Accepted to NeurIPS AI and the Self Workshop 2026. Website: this https URL
Subjects:	Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
Cite as:	arXiv:2609.20658 [cs.AI]
	(or arXiv:2609.20658v2 [cs.AI] for this version)
	https://doi.org/10.48550/arXiv.2609.20658 arXiv-issued DOI via DataCite

Submission history

From: Megan Wei [view email]
[v1] Thu, 17 Sep 2026 16:38:35 UTC (153 KB)
[v2] Wed, 11 Nov 2026 19:38:01 UTC (141 KB)