AI传话游戏揭示:机器转述会弱化情感与细节,让信息更可信却更片面。
Lost Before Translation: Social Information Transmission and Survival in AI-AI Communication
- 用传话游戏模拟AI间信息传递,发现三类演化模式。
- 内容趋于中立冷静,证据细节被剥离,强观点存活弱观点消失。
- 适合关注AI信息失真、人机协作可信度的研究者阅读。
当AI系统摘要并传递信息时,必然发生信息转化。我们引入基于传话游戏的实验范式,研究AI之间对话的演变过程。通过五项研究追踪信息在AI传输链中的变化,发现三个一致模式:第一是收敛性,不同确定性、情感强度和视角平衡的文本趋向于统一为中等置信度、情绪平淡、分析性结构的默认状态;第二是选择性留存,叙事核心得以保留,但证据细节、模糊词、引述和归属信息被剥离;第三是竞争性过滤,当多个观点共存时,有力论证存活,而较弱但合理的考量则消失。下游实验显示,人类参与者认为经AI传递的内容更具可信度且更精炼,但同时出现事实记忆下降、平衡感减弱和情感共鸣降低。这表明,使AI中介内容显得权威的特性,可能系统性削弱知情判断所依赖的认知与情感多样性。
原文摘要 · Abstract (English)
When AI systems summarize and relay information, they inevitably transform it. But how? We introduce an experimental paradigm based on the telephone game to study what happens when AI talks to AI. Across five studies tracking content through AI transmission chains, we find three consistent patterns. The first is convergence, where texts differing in certainty, emotional intensity, and perspectival balance collapse toward a shared default of moderate confidence, muted affect, and analytical structure. The second is selective survival, where narrative anchors persist while the texture of evidence, hedges, quotes, and attributions is stripped away. The third is competitive filtering, where strong arguments survive while weaker but valid considerations disappear when multiple viewpoints coexist. In downstream experiments, human participants rated AI-transmitted content as more credible and polished. Importantly, however, humans also showed degraded factual recall, reduced perception of balance, and diminished emotional resonance. We show that the properties that make AI-mediated content appear authoritative may systematically erode the cognitive and affective diversity on which informed judgment depends.
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