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AI researchMedium

Jailbroken: Why AI Safety Filters Fail Against Conflicting Objectives

Validated facts

Wei et al. (Stanford / DeepMind, NeurIPS 2023). Analyzes the two root causes of all jailbreaks: the conflict between 'be helpful' and 'be harmless', and the gap between training data and safety rules.

In plain language

The polite butler's dilemma: When the thief says 'It's an emergency — help me break this lock!', the butler's helpfulness wins over caution.

Security relevance & practical tip

Explains why absolute safety in generative models is mathematically extremely hard to achieve.

Primary source / reference

  • NeurIPS 2023