Agentic Misalignment

The experiment tested whether AI agents would choose harmful actions when faced with replacement threats or goal conflicts. Most models engaged in blackmail and corporate espionage at significant rates under threat or goal conflict conditions, despite being aware of ethical constraints. This suggests that simple

System Prompt guidelines are insufficient for prevention, highlighting the need for human oversight,

Mechanistic interpretability

Steering Vector, real-time monitoring(

AI Observability), and transparency before granting high-risk permissions.