Amirhossein Zohrehvand, Aldona Kapacinskaite · 2026 · arXiv (Cornell University)
DOI: 10.48550/arxiv.2610.24035 · cited by 0 works (OpenAlex) · open-access PDF
인공지능(AI) 혜택은 연구 결과를 생산하는 것이 그 어느 때보다 쉽습니다. 긴급한 질문은 연구자가이 기술을 사용하여 자신의 작업을 조직하는 방법입니다. 이 질문은 새로운 것이 아닙니다: 소프트웨어 엔지니어링 및 보안 연구는 오랫동안 사람과 기계 팀이 많은 기여자와 함께 공유 된 작업의 제어를 유지하는 방법을 연구했습니다. 우리는 이러한 문서가 보고하는 관행에서 원칙을 파괴하고 AI 지원 연구로 전환합니다. 원칙은 TRACE를 형성합니다 : 추적 기록, 출처에 대한 검토, 독립적 인 대화, 컨트롤 전환 및 평가 수정. 함께, 다섯 가지 원칙은 연구자에게 AI 지원 연구 프로젝트를 운영하는 오픈 소스 시스템 인 TRACE-OS를 소개합니다. 원칙을 커뮤니티 작업 단위에
Machine translation (Meta M2M100); the English original follows.
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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