Why “human‐ AI collaboration” obscures what actually happens in information seeking
本文基于15年协作信息检索研究，指出“人机协作”这一比喻误导了对AI交互的理解，掩盖了能动性、责任和劳动等关键问题，因为当前AI系统缺乏真正协作所需的相互理解、共同目标和互适应。
Abstract The rhetoric of “human‐AI collaboration” frames contemporary discussions of interacting with artificial intelligence systems. Drawing from 15 years of research in collaborative information seeking, we argue that this metaphor fundamentally misrepresents these interactions and obscures critical issues of agency, accountability, and labor. Real collaboration—whether mediated by algorithms or not—requires mutual understanding, shared goals, reciprocal adaptation, and common ground building. Current AI systems meet none of these criteria. Here we examine what genuine collaboration entails, why the AI industry's appropriation of this language matters, and what we lose when we mistake sophisticated autocomplete for partnership.