[论文] Stumbling Into AI Emotional Dependence: How Routine AI Interactions Re...

论文概要

研究领域: ML
作者: Yaoxi Shi, Cathy Mengying Fang, Pattie Maez
发布时间: 2025-06-01
arXiv: 2506.00636

中文摘要

公众讨论和新兴政策通常假设AI情感支持是一种刻意行为：孤独的用户有意识地从专门的陪伴聊天机器人中寻求安慰。本文基于新兴实证证据，论证这一认知在两个层面都不准确——既包括AI情感支持如何产生，也包括它如何塑造未来行为。首先，AI情感支持通常在通用平台的任务导向交互中偶然产生，正如职场友谊通过协作而加深。其次，这些偶然的相遇具有路径依赖性：积极的AI情感支持体验会更新人们对AI情感能力的信念，并重新定向他们未来寻求情感支持的选择，增加对AI的偏好，减少对人的偏好。我们回顾了近期证据，包括与OpenAI合作开展的大规模纵向研究，显示每天与AI就个人问题进行5分钟对话，持续28天，导致对人寻求支持的偏好下降10.3%，对AI的偏好增加11.6%。这些发现表明，当前聚焦于陪伴应用和孤立交互的政策无法充分保护人际连接。相反，有效的监管应扩展至通用AI系统，并解决人们寻求支持方式中的累积性、轨迹级变化。认识到人们如何偶然陷入AI情感支持，以及这些相遇如何随时间重新定向人际连接，对于保障人类福祉至关重要。

原文摘要

Public discourse and emerging policy typically assume that AI emotional support is a deliberate act: a lonely user consciously seeking comfort from a dedicated companion chatbot. In this paper, we draw on emerging empirical evidence and argue that this picture is inaccurate on two accounts, both in how AI emotional support arises and how it shapes future behavior. First, AI emotional support commonly emerges incidentally within task-oriented interactions on general-purpose platforms, much as workplace friendships deepen through collaboration. Second, these incidental encounters are path-dependent: positive experiences of AI emotional support update people's beliefs about AI's emotional capabilities and redirect their choices for future emotional support, increasing preference for AI and de...

自动采集于 2026-06-05

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