The Threshold Is a Price, Not a Percentage

Using a fixed confidence cutoff to decide when an AI agent should act autonomously is a flawed approach. The decision to act alone or escalate to a human should instead be an economic one, comparing the expected cost of an error with the cost of human intervention. This reframes the threshold as a dynamic price that depends on the stakes of the specific task, rather than a static percentage. For this cost-based method to be effective, the agent's confidence scores must also be calibrated to reflect true probabilities. This framework allows for more rational, context-aware agent autonomy, with different thresholds for low-risk and high-risk decisions.