I think “human-in-the-loop” may become one of the biggest governance illusions in enterprise AI

Most enterprises currently believe they have a governance strategy for AI: “If something risky happens, a human will review it.” Sounds reasonable. But I think there’s a deeper structural problem emerging as AI systems move from recommendation → execution. Because modern AI systems don’t just generate answers anymore. Increasingly, they also: classify risk, estimate confidence, decide whether escalation is needed, determine what gets surfaced to humans, and silently handle everything else. Which creates a strange loop: The system being governed is also deciding when governance should begin.