AI 中文总结
针对跨学科科学中人工智能研究助手缺乏协作推理支持的问题，提出构建Aïra，它能识别学科观点、翻译术语等，介绍了其设计原则、系统架构，展示输出并给出支持协作学术的人工智能系统未来研究方向。
AI 中文摘要
科学发现越来越依赖跨学科团队，其成员贡献不同的专业知识、概念框架、词汇、假设和证据标准。当今的人工智能研究助手主要用于通过文献综述、写作辅助、编码和数据分析来支持个体研究人员。虽然这些功能提高了个人生产力，但对跨学科整合知识所需的协作推理支持甚少。我们认为人工智能研究助手应从优化个人工作流程的工具演变为为跨学科团队设计的系统。我们介绍了围绕这一理念构建的Aïra，它不仅专注于总结或问答，还能识别学科观点、翻译术语、突出假设并综合协作研究机会。我们描述了Aïra的设计原则，展示了其系统架构，通过跨学科研究会议说明了其输出，并概述了支持协作学术的人工智能系统的未来研究方向。
英文摘要
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. 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. We describe the design principles underlying aïra, present its system architecture, illustrate its outputs through interdisciplinary research meetings, and outline future research directions for AI systems that support collaborative scholarship.
