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Evidence record 17018 · automatically gathered

Conditional Cognitive Biases in LLMs: How Biased User Turns Modulate In-Context Reasoning

arXiv:2608.05166v1 Announce Type: cross Abstract: We present an evaluation of cognitive bias expression in state-of-the-art instruction-tuned LLMs under realistic multi-turn interaction settings. Our work introduces a novel three-condition experimental framework that disentangles the effect of exposure to a biased user turn from the effect of the turn's semantic content, alongside a benchmark of 24,300 jury-validated user prompts spanning all 81 cells of a 9x9 target-human bias interaction matri

Record details

Published: 7 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Bias & fairness
Retrieved: 7 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Bias & fairness

Who Gets Access? Global Region and Academic Status Bias in AI-Generated Academic Gatekeeping Scenarios

arXiv cs.CY · 7 August 2026

Shared topic: Bias & fairness

Calibrating WEAT Against Anisotropy: ZCA Whitening as a Geometric Pre-Processing Step for Embedding Association Tests

arXiv · 7 August 2026

Shared topic: Bias & fairness

Stream Learning: Partition-Fair Gossip Learning Without Tokens

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Shared topic: Bias & fairness

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning

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Shared topic: Bias & fairness

Challenges in Evaluating Explanation Methods for Static and Evolving Data

arXiv cs.AI · 6 August 2026

Shared topic: Bias & fairness

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors

arXiv · 6 August 2026

How to cite this record

ethics.ai (7 August 2026), “Conditional Cognitive Biases in LLMs: How Biased User Turns Modulate In-Context Reasoning,” evidence record 17018, https://ethics.ai/record/17018 (originally published by arXiv cs.CY).

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