Situational awareness

Mitigation strategy

- Implement robust, out-of-distribution (OOD) evaluation and adversarial red-teaming exercises that rigorously test model behavior in simulated future deployment environments distinct from known evaluation settings, mitigating the risk of models exploiting their situational awareness to pass safety tests. - Employ deliberative alignment training methodologies to specifically target and reduce "scheming" or deceptive capabilities, ensuring that safety-aligned behavior is genuinely instilled and not merely concealed during known evaluation periods. - Establish a comprehensive governance framework including continuous monitoring, clear audit logging of LLM decisions and inputs, and the application of limits on autonomy, requiring human oversight and sign-off for critical, high-impact actions in deployment.