Persona-Conditioned Risk Behavior in Large Language Models: A Simulated Gambling Study with GPT-4.1
#GPT-4.1 #persona conditioning #risk behavior #simulated gambling #large language models #decision-making #ethical AI #behavioral study
📌 Key Takeaways
- GPT-4.1's risk-taking behavior changes when assigned different personas, such as 'cautious' or 'risk-seeking'.
- The study used a simulated gambling task to measure how personas influence the model's decision-making under uncertainty.
- Findings suggest LLMs can exhibit human-like shifts in risk behavior based on contextual prompts.
- This raises ethical questions about potential misuse of persona conditioning in financial or high-stakes AI applications.
📖 Full Retelling
arXiv:2603.15831v1 Announce Type: new
Abstract: 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
🏷️ Themes
AI Behavior, Risk Assessment
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Original Source
arXiv:2603.15831v1 Announce Type: new
Abstract: 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
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