CONCEPT
The Enforcement Problem
North's brutal formulation — rules without enforcement are suggestions — applied to the novel challenge of monitoring and sanctioning the behavior of human-machine systems whose reasoning is opaque and whose outputs are joint products no existing framework was designed to evaluate.
North was fond of a formulation that had the quality of an aphorism but functioned as analytical proposition: rules without enforcement are suggestions.
Compliance requires enforcement, and enforcement requires mechanisms — institutions dedicated to monitoring behavior, detecting violations, imposing sanctions, and creating the expectation that violations will be detected and sanctioned with sufficient reliability to deter the rational actor. The AI transition creates enforcement problems of qualitatively new character. Previous challenges involved monitoring human behavior. The AI transition introduces a new object of enforcement: the human-machine system, whose joint output must be evaluated against quality, safety, or ethical standards. Enforcing rules against this composite actor requires conceptual and institutional innovations the existing apparatus does not possess. Bar associations cannot evaluate AI-assisted legal work with tools designed for human professional conduct. Medical boards cannot assess AI-assisted diagnosis with frameworks built for human decision-makers. The gap
between the need for new enforcement mechanisms and the capacity to