Title: Confirmation Bias as a Cognitive Resource in LLM-Supported Deliberation Show Chinese title

Title: 确认偏误作为LLM支持的审议中的认知资源

Abstract: Large language models (LLMs) are increasingly used in group decision-making, but their influence risks fostering conformity and reducing epistemic vigilance. Drawing on the Argumentative Theory of Reasoning, we argue that confirmation bias, often seen as detrimental, can be harnessed as a resource when paired with critical evaluation. We propose a three-step process in which individuals first generate ideas independently, then use LLMs to refine and articulate them, and finally engage with LLMs as epistemic provocateurs to anticipate group critique. This framing positions LLMs as tools for scaffolding disagreement, helping individuals prepare for more productive group discussions. Show Chinese abstract

Abstract: 大型语言模型（LLMs）在群体决策中被越来越多地使用，但它们的影响可能会助长一致性并降低认识上的警觉性。 基于推理的论辩理论，我们认为确认偏误通常被视为有害的，但在与批判性评估相结合时，可以被利用为一种资源。 我们提出一个三步流程，其中个体首先独立生成想法，然后使用LLMs来完善和阐明这些想法，最后将LLMs作为认识上的挑衅者，以预见群体的批评。 这种框架将LLMs定位为促进分歧的工具，帮助个体为更有效的群体讨论做准备。