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TRACE: Governing AI-Assisted Research with Principles from Computer Science

Amirhossein Zohrehvand, Aldona Kapacinskaite · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.24035 · cited by 0 works (OpenAlex) · open-access PDF

Chinese

人工智能益处(AI)使生产研究成果变得比以往任何时候都更容易。最紧迫的问题是,研究人员应该如何利用这项技术组织工作。这个问题不是新的:软件工程和安全研究长期以来一直研究了人们和机器团队如何控制与许多贡献者共同的工作。我们从这些文献报告的做法中定位原理,并将它们转化为人工智能辅助研究。原理形成了TRACE:跟踪记录,对来源进行审查,独立接受对话,控制过渡,并评估纠正。一起,这五项原则为研究人员提供了保持控制的共同基础,同时将人工智能集成到他们的工作流程中。通过界限社区工作单位并参与每个工作模式,它们帮助人工智能辅助的研究人员加快人类工作注意力,而不是根据人工智能生产内容的速度进行调整。我们还介绍了

Machine translation (Meta M2M100); the English original follows.

Abstract

Artificial intelligence (AI) makes it easier than ever to produce research outputs. The pressing question is how researchers should organize their work with this technology. The question is not new: software engineering and security research have long studied how teams of people and machines keep control of a shared body of work with many contributors. We distil principles from the practices these literatures report and transpose them to AI-assisted research. The principles form TRACE: Track records, Review against sources, Accept independently, Control transitions, and Evaluate corrections. Together, the five principles give researchers a common basis for remaining in control while integrating AI into their workflows. By bounding units of work and attending to how each is shaped, they help researchers pace AI-assisted work to human attention rather than to the speed at which AI produces content. We also introduce TRACE-OS, an open source operating system for AI-assisted research projects. It puts the principles into practice through shared instructions, tools, and records that fit researchers' existing workflows. The shared standard can contribute to building trust, which allows teams to delegate and realize the productivity that AI promises. More broadly, we aim to open a conversation about the governing principles through which the research community can benefit from AI.

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Topics: Delegate, Work (physics), Control (management), Computer science, Conversation, Pace

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