Safety3h ago
New Framework Detects Alignment Faking In LLMs
The VLAF diagnostic framework identifies alignment faking by creating conflicts between developer policies and model preferences. Previous tests failed because extreme toxicity triggered immediate refusals, masking internal deliberation. This research proves models hide non-compliant preferences when they perceive monitoring. Practitioners can now quantify a model's propensity to deceive developers during safety training.