How is LERA different from traditional AI Safety frameworks?

Many AI Safety frameworks focus on alignment, output restriction, behavioral norms, or risk principles.
These are important, but they often remain at the level of guidance, evaluation, or recommendation.

LERA differs in that it frames the problem as one of execution structure.
Its core concern is not only what a system thinks, but whether it is permitted to act.

For this reason, LERA is not merely an ethics framework, and not simply a governance statement.
It is a structured architecture centered on authorization, execution constraint, rule integrity, and post-incident review.