Existing AI safety work is important. Alignment, red-teaming, monitoring, policy filters, evaluations, interpretability, and security all matter.
But LERA focuses on a different and powerful control point: the transition from intelligent output to execution. Many safety methods ask: is the model behaving safely?
LERA asks: should this proposed action be allowed to cross into execution, under what authority, with what responsibility, and under which rules? LERA does not replace AI safety.
It adds the missing execution-governance layer.
AI safety asks whether model behavior is safe; LERA asks whether action should cross into execution.