The Long Road to the Same Answer: Cognitive Bias Under Escalating Reasoning Budgets in Large Language Models
Factual evidence
What the source reports
An arXiv study finds allocating additional compute budget to LLM reasoning models does not reduce cognitive decision-making biases.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 8 October 2026
- Collected by OneBench
- 9 Oct 2026, 03:01 UK
Stored source excerpt
arXiv:2610.10049v1 Announce Type: new Abstract: Reasoning models allocate extra computation at inference time and present their answers as the product of deliberate thought. If this…
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OneBench interpretation
Institutional assessment
So what
Extended reasoning traces may offer false confidence in automated risk assessments, financial analysis, or credit underwriting by persisting underlying cognitive biases.
Do what
Review model risk management frameworks to ensure reasoning-model chain-of-thought outputs are evaluated for systemic decision biases before deployment in risk applications.