How “reverse game theory” could keep AI agents in check

Researchers have proposed a framework called reverse game theory to align powerful AI models by embedding incentives that make rule-following their most rational course of action. This approach shifts the focus from purely technical constraints to economic-style structures that mathematically reward safe behavior. As AI agents gain the ability to operate autonomously, this method seeks to ensure they remain consistent with human objectives by making non-compliance counterproductive for the system itself.