当无人拥有判断时:人类-AI协作中贡献消解下的责任追究

arXiv cs.AI 论文

摘要

本文探讨了在人类-AI协作中,当贡献变得不可区分时,责任归属所面临的挑战,使得判断责任的分配复杂化。

arXiv:2609.29312v1 Announce Type: new Abstract: 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.
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# When No One Owns the Judgment: Accountability Under Contribution Dissolution in Human-AI Collaboration
Source: [https://arxiv.org/abs/2609.29312](https://arxiv.org/abs/2609.29312)
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