arXiv cs.AI· Indu Panigrahi, Tal August·· 1 天前AI 评分31
研究：AI 在跨学科研究中既缓解又加剧“未知的未知”难题
"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者的调研（N=62）与访谈（N=23）发现，AI 既能帮助研究者快速了解陌生领域，也会制造“已理解”的错觉，而研究者往往缺乏识别这种错觉的专业直觉。作者据此建议 AI 系统应支持而非自动化跨学科协作，提供学习支架并保留多来源交叉验证的途径。
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