arXiv cs.AI· Megan Wei, Melanie Subbiah, Audrey Lee, Annya Dahmani, Dave Edwards, Helen Edwards, Ellie Pavlick·· 3 小时前AI 评分30
AI 辅助日常任务中的归属感研究:何时仍觉得作品是自己的
Ownership in AI-Assisted Everyday Tasks
AI 导读
NeurIPS AI and the Self Workshop 2026 接收的一项探索性定性调查研究人们与 AI 共同完成日常任务时的归属感。研究发现:仅批准 AI 建议会让人否认作品归属,而主导、迭代或重写则能保留归属感;即使没有 AI 无法完成、不掌握执行细节,只要拥有项目愿景,归属感依然较高。
正文 · 原文
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)
来源:arXiv cs.AI · arxiv.org