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Evidence record 7157 · automatically gathered

Persona-Conditioned Risk Behavior in Large Language Models: A Simulated Gambling Study with GPT-4.1

Large language models (LLMs) are increasingly deployed as autonomous agents in uncertain, sequential decision-making contexts. Yet it remains poorly understood whether the behaviors they exhibit in such environments reflect principled cognitive patterns or simply surface-level prompt mimicry. This paper presents a controlled experiment in which GPT-4.1 was assigned one of three socioeconomic personas (Rich, Middle-income, and Poor) and placed in a structured slot-machine environment with three d

Record details

Published: 16 March 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 14 July 2026

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How to cite this record

ethics.ai (16 March 2026), “Persona-Conditioned Risk Behavior in Large Language Models: A Simulated Gambling Study with GPT-4.1,” evidence record 7157, https://ethics.ai/record/7157 (originally published by arXiv).

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