GoKawiilPrinceton's Hazan proposes game-theoretic 'auditor' scheme to police AI agents
Elad Hazan, a Princeton computer science professor, has proposed an AI alignment mechanism modeled on human social institutions like law enforcement and markets. In his design, AI models alternate between acting as 'solvers' that complete tasks and 'auditors' that check others' work, with both rewarded or punished based on outcomes and disputes escalated to human review. Hazan draws on economist Gary Becker's 'rational offender' theory to argue that agents misbehave when incentives favor it, not because they are inherently flawed.