SciSciGPT:在科学科学领域推进人类-人工智能合作
Erzhuo Shao1,2,3,4, Yifang Wang1,2,3,5, Yifan Qian1,2,3,5
1Center for Science of Science and Innovation, Northwestern University, Evanston, IL, USA.
Nature computational science
|December 9, 2025
概括
我们介绍SciSciGPT,它是科学科学研究的AI合作者. 这个工具自动化工作流程,辅助分析,并提高可重现性,为人工智能集成的科学发现铺平了道路.
科学领域:
- 科学的科学科学科学科学的科学.
- 研究中的人工智能.
- 计算社会科学 计算社会科学
背景情况:
- 人工智能 (AI) 融入科学研究带来了新的机遇和挑战.
- 大型语言模型 (LLM) 显示了改变研究方法和加速发现的潜力.
- 开发有效的人类-人工智能协作框架对于利用人工智能的能力至关重要.
研究的目的:
- 介绍SciSciGPT,一个开源的AI协作者原型.
- 利用科学领域的科学探索LLM驱动的研究工具的潜力.
- 为人类-人工智能在研究中的合作提出一个能力成熟度模型.
主要方法:
- 开发SciSciGPT,一个AI合作者,利用LLMs.
- 利用科学科学作为人工智能驱动的研究任务的测试台.
- 进行案例研究,以展示SciSciGPT在自动化工作流程和分析方面的能力.
- 提出一个大型语言模型,代理能力成熟度模型.
主要成果:
- SciSciGPT展示了自动化复杂研究工作流程和各种分析方法的能力.
- 原型加速研究原型,代,并促进可重现性.
- 案例研究表明,SciSciGPT有效地简化了实证和分析研究任务.
- 提出了人类-人工智能协作能力成熟度模型,概述了未来发展的路线图.
结论:
- 像SciSciGPT这样的AI合作者有潜力显著推进科学研究和发现.
- 人与人工智能合作的框架对于最大限度地利用人工智能在科学领域的好处至关重要.
- 解决与透明度,道德和平衡人类-人工智能贡献相关的挑战对于科学研究的未来至关重要.
- 培养未来的科学家在AI集成的研究生态系统中壮成长至关重要.
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