From Shadow AI to Governed AI Review: A Commentary on “Fighting Fire with Fire: Infusing AI into Peer Review to Sustain Quality Scholarship”
中文摘要
本评论回应《以火攻火:将AI融入同行评审以维系高质量学术》一文[Bhargava et al. (2026) Management Sci. Forthcoming.]。本评论支持该文所呼吁的对同行评审中的AI使用采取受治理的路径,并认为关键问题不在于AI是否会进入同行评审,而在于其使用是继续保持非正式与隐蔽,还是变得透明、可审计并接受机构问责。本评论在支持由期刊管理的AI审稿以应对"影子AI"问题的同时,强调若干实施风险,包括AI幻觉、人类问责、作者对程序尊严的感知,以及结构化评估与价值判断之间不断演变的边界。本评论的结论是,AI辅助的同行评审应被视为持续实验与完善的重要起点。本评论由 Christoph Loch 接受发表。
Abstract
This commentary responds to “Fighting Fire with Fire: Infusing AI into Peer Review to Sustain Quality Scholarship” [Bhargava et al. (2026) Management Sci. Forthcoming.]. It supports the paper’s call for a governed approach to the use of AI in peer review. It argues that the key issue is not whether AI will enter peer review, but whether its use will remain informal and hidden or become transparent, auditable, and institutionally accountable. While endorsing journal-managed AI review as a response to the problem of “shadow AI,” the comment highlights several implementation risks, including AI hallucination, human accountability, authors’ perceptions of procedural dignity, and the evolving boundary between structured assessment and value judgment. It concludes that AI-assisted peer review should be treated as an important starting point for continued experimentation and refinement. This commentary was accepted by Christoph Loch.