当无人拥有判断：人机协作中贡献消解下的问责
When No One Owns the Judgment: Accountability Under Contribution Dissolution in Human-AI Collaboration
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中文总结 AI 辅助
本文指出AI辅助工作中存在“无人拥有的判断”这一问责盲区，通过同行评审和创意工作两个案例，揭示贡献消解与隐藏使用问题，并提出区分AI角色、明确人类判断归属及无惩罚披露等讨论方向。
中文摘要 AI 辅助
社区在面对可能由AI辅助的工作时，通常会提出三个问题：是否使用了AI？该使用是否被披露？隐藏的使用能否被检测到？这些问题将AI的使用本身置于问责的中心，却忽视了一个更深层次的问题：无人拥有的判断。评估、主张、决策和创意方向可能由AI塑造，而没有一个负责任的人或机构准备为其背书。我们通过两个说明性案例来发展这一论点：AI辅助的同行评审和创意工作中隐藏的AI使用。前者展示了贡献消解如何削弱责任，而后者展示了害怕失去功劳如何阻碍诚实的披露。这些案例揭示了披露规则和来源记录作为对AI中介协作回应的局限性。我们提出三个讨论方向：区分AI所扮演的角色，识别需要明确人类拥有的判断，以及创造条件使AI参与能够在没有默认惩罚的情况下被披露。更广泛的目标是使AI塑造的贡献变得可讨论、可归功、可质疑和可修复。
英文摘要
Communities often respond to potentially AI-assisted work by asking three questions: Was AI used? Was that use disclosed? Can hidden use be detected? These questions place AI use itself at the center of accountability while overlooking a deeper problem: unowned judgment. Evaluations, claims, decisions, and creative directions can be shaped by AI with no accountable human or institution prepared to stand behind them. We develop this argument through two illustrative cases: AI-assisted peer review and concealed AI use in creative work. The first shows how contribution dissolution can weaken responsibility while the second shows how the fear of losing credit can discourage honest disclosure. The cases expose the limits of disclosure rules and provenance records as responses to AI-mediated collaboration. We offer three directions for discussion: distinguishing the roles AI plays, identifying judgments that require clear human ownership, and creating conditions in which AI involvement can be disclosed without default penalty. The broader aim is to make AI-shaped contributions discussable, creditable, contestable, and repairable.
发表机构
- Peking University（北京大学）
- School of Computer Science（计算机学院）
机构由 AI 辅助整理，请以论文原文为准。
