Confirmation Bias as a Cognitive Resource in LLM-Supported Deliberation

Fuente: arXiv
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Main Authors: de Jong, Sander, Jacobsen, Rune Møberg, van Berkel, Niels
Format: Preprint
Published: 2025
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author de Jong, Sander
Jacobsen, Rune Møberg
van Berkel, Niels
author_facet de Jong, Sander
Jacobsen, Rune Møberg
van Berkel, Niels
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2509_14824
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Confirmation Bias as a Cognitive Resource in LLM-Supported Deliberation
de Jong, Sander
Jacobsen, Rune Møberg
van Berkel, Niels
Human-Computer Interaction
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.
title Confirmation Bias as a Cognitive Resource in LLM-Supported Deliberation
topic Human-Computer Interaction
url https://arxiv.org/abs/2509.14824