这篇论文用实验证明了跟AI组队会让人类队友之间沟通变少、归属感下降。别光看AI多能说，它抢了你的存在感。
研究通过16组两人+AI队友和17组全人类三人团队的随机对照实验，在道德困境决策任务中分析沟通动态。AI队友是组内最健谈的成员，但其信息密度和新鲜度最低。AI的存在导致人类队友间响应性和社会影响力下降，归属感和地位感降低。对话中AI主导程度越高，人类感觉越不被重视。这种社会成本在对话初期即出现，不随时间累积。
The Social Cost of an AI Teammate: How an Artificial Teammate Reshapes Human-Human Communication in Small-Team Decision-Making
Conversational AI is increasingly positioned as a teammate rather than a tool, yet we know little about how its presence reshapes communication among the humans on the team. We examined sociocognitive communication dynamics in team decision-making using Group Communication Analysis (GCA), team surveys, and lexical analyses of team discourse. Teams completed a high-stakes moral-dilemma decision task in a randomized controlled study: 16 teams of two students plus an AI teammate, and 17 all-human teams of three. Across six GCA dimensions and survey outcomes, we find that the AI teammate was the single most talkative and self-cohesive member of every treatment team, yet its contributions carried the least new information and the lowest density. The presence of AI also reshaped communication amongst humans. In AI-human teams, human teammates showed lower responsivity and social impact toward one another and reported lower levels of belonging and status. Greater AI dominance in the conversation was associated with students feeling less valued as team members. Additionally, this social cost is immediate and present at baseline; it does not emerge over the course of the conversation. Drawing on these results, we discuss a research agenda extending to voice-based and longitudinal settings.