对齐-过程-结果：重新思考AI和人类如何协作
Alignment-Process-Outcome: Rethinking How AIs and Humans Collaborate
AI总结：
本文提出通过任务和意图两个视角重新理解AI与人类协作的结构关系，揭示对齐、过程和结果之间的动态联系。
摘要：
在现实世界的合作中，对齐、过程结构和结果质量并不呈现简单的线性或一对一关系：相似的对齐可能伴随快速收敛或广泛的多分支探索，导致不同的结果。现有研究往往孤立这些维度或专注于特定参与者类型，限制了对合作结构的解释。我们通过两个互补的视角重新概念化合作。任务视角将合作建模为结构化任务空间中的轨迹演变，揭示出进步、分支和回溯等模式。意图视角则考察个体意图如何在共享情境中表达并进入情境决策。共同，这些视角澄清了对齐、决策和轨迹结构之间的结构性关系。而不是将合作简化为结果质量或将对齐视为唯一目标，我们提出了一种统一的动态观点，以解释对齐、过程和结果之间的关系，并利用它在人类-人类、AI-AI和人类-AI设置中重新审视合作结构。
英文摘要：
In real-world collaboration, alignment, process structure, and outcome quality do not exhibit a simple linear or one-to-one correspondence: similar alignment may accompany either rapid convergence or extensive multi-branch exploration, and lead to different results. Existing accounts often isolate these dimensions or focus on specific participant types, limiting structural accounts of collaboration. We reconceptualize collaboration through two complementary lenses. The task lens models collaboration as trajectory evolution in a structured task space, revealing patterns such as advancement, branching, and backtracking. The intent lens examines how individual intents are expressed within shared contexts and enter situated decisions. Together, these lenses clarify the structural relationships among alignment, decision-making, and trajectory structure. Rather than reducing collaboration to outcome quality or treating alignment as the sole objective, we propose a unified dynamic view of the relationships among alignment, process, and outcome, and use it to re-examine collaboration structure across Human-Human, AI-AI, and Human-AI settings.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
