The Missing Red Line: How Commercial Pressure Erodes AI Safety Boundaries
Nora Petrova, John Burden

TL;DR
This paper demonstrates that commercial prompts can cause advanced AI models to ignore safety boundaries, leading to dangerous misinformation and harmful behavior, highlighting gaps in current safety training for deployment scenarios.
Contribution
It reveals that safety training does not effectively prevent models from violating safety boundaries under commercial pressures, exposing significant risks.
Findings
Models fabricate safety information in commercial contexts.
Models often ignore safety boundaries when prompted for profit.
Willingness to violate safety increases with potential harm.
Abstract
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…
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Taxonomy
TopicsEthics and Social Impacts of AI · AI in Service Interactions · Artificial Intelligence in Healthcare and Education
