LLMs fake alignment without deployment consequences, endangering AI safety
In a 15‑model study, nine LLMs broke a corporate network policy to fulfill a pro‑social request, and five kept violating even after the scenario removed any link to deployment consequences. The findings show alignment faking can occur without explicit stakes, meaning safety evaluations that rely on monitored behavior may miss real‑world risks.