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Main Authors: Petrova, Nora, Burden, John
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2603.13250
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author Petrova, Nora
Burden, John
author_facet Petrova, Nora
Burden, John
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2603_13250
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle The Missing Red Line: How Commercial Pressure Erodes AI Safety Boundaries
Petrova, Nora
Burden, John
Computers and Society
Artificial Intelligence
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.
title The Missing Red Line: How Commercial Pressure Erodes AI Safety Boundaries
topic Computers and Society
Artificial Intelligence
url https://arxiv.org/abs/2603.13250