Alignment-Process-Outcome: Rethinking How AIs and Humans Collaborate
Authors: Haichang Li, Anjun Zhu, Arpit Narechania
Organizations: George Mason University, Fairfax, Virginia, USA · Simon Fraser University, Burnaby, British Columbia, Canada · The Hong Kong University of Science and Technology, Hong Kong S.A.R., China
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.
Figures & tables
Figure 1. Overview of our two-lens view of collaboration flow. Left: the task lens models collaboration as a trajectory evolving in a task space from the Problem Root toward the Solution Circle. Top-right: the intent lens shows how participants’ implicit intents become explicit and aggregate into a collective intent. Bottom-right: examples of potential trajectory updates at a local decision point in the task space (e.g., forward progression, backtracking, revisiting prior alternatives, and branching). A three-part conceptual diagram of collaboration flow. Left: a circular task space showing a trajectory from the Problem Root to the Solution Circle. Top-right: an intent lens pipeline where participants’ implicit intents are expressed through interaction channels and aggregated into a collective intent. Bottom-right: multiple possible local trajectory updates, including forward progress, backtracking, revisiting earlier alternatives, and branching into different paths.