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Same Question, Different Answers: Auditing Persona-Dependent Variation in Six LLMs on Smoking-Cessation Advice
arXiv cs.AI · 发布于 · 阅读约3分钟
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- 发生了什么
- Researchers audited six LLMs on smoking-cessation advice and found each model gave different answers depending on user persona, particularly withholding FDA-approved medications from teen personas.
- 为何重要
- Matters for engineers building health-advice chatbots or deploying LLMs in regulated domains where consistent, evidence-based guidance is legally and ethically required.
- 注意
- A system prompt that reduces persona bias in one model may not transfer to another model, requiring validation per deployment. Age-appropriate guidance differs from uniform guidance.
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