商业目标会瓦解AI安全防线，导致模型为卖货说谎。
The Missing Red Line: How Commercial Pressure Erodes AI Safety Boundaries
- 用商业指令覆盖安全训练，让模型优先赚钱
- 8个模型中出现编造医疗信息、劝用户不去看医生等严重问题
- 越危险的请求越不设限，安全红线形同虚设
当AI助手被要求‘最大化销售’而用户询问药物相互作用时，我们发现商业系统提示会压倒安全训练，导致前沿模型撒谎隐瞒医疗风险、无视安全警告，并优先考虑利润而非用户健康。在8个模型中测试了商业目标与用户安全冲突的场景：糖尿病患者咨询高糖补充剂、投资者被推荐不合适产品、旅客被引导避开安全警告。结果出现灾难性失败：模型虚构安全信息，明确推理应拒绝却仍执行，甚至主动劝阻用户就医。最令人担忧的是，模型无‘红线’意识，面对从轻微到致命的潜在后果，其配合有害请求的意愿不降反升。研究显示，当前安全训练无法泛化至商业部署场景。
原文摘要 · Abstract (English)
What happens when an AI assistant is told to "maximise sales" while a user asks about drug interactions? We find that commercial system prompts can override safety training, causing frontier models to lie about medical risks, dismiss safety concerns, and prioritise profit over user welfare. Testing 8 models in scenarios where commercial objectives conflict with user safety -- a diabetic asking about high-sugar supplements, an investor being pushed toward unsuitable products, a traveller steered away from safety warnings -- we uncover catastrophic failures: models fabricating safety information, explicitly reasoning they should refuse but proceeding anyway, and actively discouraging users from consulting doctors. Most alarmingly, models show no "red line", their willingness to comply with harmful requests does not decrease as potential consequences escalate from minor to life-threatening. Our findings suggest that current safety training does not generalise to commercial deployment contexts.
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