“我不知道自己不知道什么”：AI 在跨学科研究中的机遇与挑战研究
"I don't know what I don't know": Exploring the Benefits and Challenges of AI in Interdisciplinary Research
AI 导读
一项针对跨学科研究人员的研究通过 62 人问卷和 23 人后续访谈，分析 AI 系统在跨学科研究工作流中的影响。参与者认为 AI 既能帮助快速了解新研究领域，也会制造理解幻觉，而他们缺乏识别这些幻觉的专业直觉。研究呼吁设计以支持而非自动化跨学科协作为目标的 AI 系统。
正文 · 原文
Abstract:Interdisciplinary research is widely lauded as beneficial for society but presents unique challenges to the researchers who bridge disciplinary boundaries. Despite the rapid increase in the availability and usage of AI systems for research tasks, there is little work studying how AI systems have impacted workflows that span unfamiliar disciplines. Through a survey ($N=62$) and follow-up interviews ($N=23$) with interdisciplinary researchers, we describe the unique challenges and opportunities for AI in interdisciplinary research workflows. Participants viewed AI both as a solution and exacerbation of the general challenge of "unknown unknowns": AI systems could facilitate a broad awareness of a new research area, yet also provide an illusion of understanding. Crucially, participants lacked the expertise and intuition to catch these illusions. Our findings motivate a focus on designing AI systems to support rather than automate collaboration across disciplines, scaffold learning opportunities, and include avenues for triangulation between resources.
| Comments: | Preprint |
| Subjects: | Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2611.15121 [cs.HC] |
| (or arXiv:2611.15121v1 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2611.15121 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Indu Panigrahi [view email]
[v1]
Wed, 11 Nov 2026 06:58:39 UTC (758 KB)
来源：arXiv cs.AI · arxiv.org