Risk‑Aware Causal Gating lets LLM agents self‑limit actions for safety
The paper introduces Risk‑Aware Causal Gating (RACG), a framework that gauges counterfactual risk before letting an LLM‑driven agent act, defer, or abstain. By separating causal risk from predictive confidence, RACG cuts high‑cost mistakes dramatically while preserving most of the system’s utility, offering a principled least‑privilege safety primitive.