arXiv cs.MA· Diya Mirji, Tiffany Degbotse, Sharmil Nanjappa, Jiayi Zhou, Vishnu Manoj, Vihaan Nama, Boyuan Chen, Lee Tiedrich, Christopher Bail, David W. Johnston, Walter Sinnott-Armstrong, Brinnae Bent·· 11 小时前AI 评分29
aïra：面向跨学科科学协作重新设计 AI 研究助手
A\"ira: Rethinking AI Research Assistants for Interdisciplinary Science
AI 导读
一篇愿景论文提出 AI 研究助手应从优化个人工作流转向服务跨学科团队，并介绍了名为 aïra 的系统。aïra 不止做摘要或问答，而是识别学科视角、翻译术语、标注假设并综合协作研究机会。论文阐述了其设计原则与系统架构，并通过跨学科研究会议展示输出，该文已被 AIAS 2026 接收。
正文 · 原文
Authors:Diya Mirji, Tiffany Degbotse, Sharmil Nanjappa, Jiayi Zhou, Vishnu Manoj, Vihaan Nama, Boyuan Chen, Lee Tiedrich, Christopher Bail, David W. Johnston, Walter Sinnott-Armstrong, Brinnae Bent
Abstract:Scientific discovery increasingly depends on interdisciplinary teams whose members contribute distinct expertise, conceptual frameworks, vocabularies, assumptions, and standards of evidence. Today's AI research assistants are largely designed to support individual researchers through literature review, writing assistance, coding, and data analysis. While these capabilities improve personal productivity, they provide little support for the collaborative reasoning required to integrate knowledge across disciplines. In this vision paper, we argue that AI research assistants should evolve from tools that optimize individual workflows to systems designed for interdisciplinary teams. We introduce aïra, an AI research assistant built around this idea. Rather than focusing solely on summarization or question answering, aïra identifies disciplinary perspectives, translates terminology, highlights assumptions, and synthesizes collaborative research opportunities. This paper offers a vision describing the design principles underlying aïra, presenting its system architecture, illustrating its outputs through interdisciplinary research meetings, and outlining future research directions for AI systems that support collaborative scholarship.
| Comments: | Accepted to AIAS 2026 |
| Subjects: | Human-Computer Interaction (cs.HC); Multiagent Systems (cs.MA) |
| Cite as: | arXiv:2607.12736 [cs.HC] |
| (or arXiv:2607.12736v2 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2607.12736 arXiv-issued DOI via DataCite |
Submission history
From: Brinnae Bent [view email]
[v1]
Tue, 14 Jul 2026 13:06:49 UTC (238 KB)
[v2]
Fri, 6 Nov 2026 16:44:07 UTC (241 KB)
来源：arXiv cs.MA · arxiv.org