Strategic Oversight for AI Safety: A Stackelberg Security Games Perspective
Existing safety frameworks of artificial intelligence (AI) systems largely treat alignment as a static optimization problem (e.g., tuning models to desired behavior) while overlooking the dynamic, adversarial incentives that shape how data are collected, how models are evaluated, and how they are ultimately deployed. W...