Cost‑Ratio Thresholds Replace Confidence Cutoffs for Safer AI Autonomy
Instead of a static confidence cutoff, the article shows that an AI agent’s autonomy should be governed by the economic trade‑off between the cost of a mistake and the cost of human escalation. This cost‑ratio threshold scales with the stakes of each decision, cutting unnecessary escalations and preventing costly errors.