Human Oversight for AI Actions

This question is asking whether a human needs to review and approve actions before your AI system executes them, especially for important decisions. It's like having a safety check where AI makes suggestions but a person has the final say on whether to proceed. This is particularly important for actions that could affect data, money, or business operations - ensuring AI remains a tool that assists humans rather than replacing human judgment entirely.

Without human oversight, AI mistakes can cascade into major business disasters - imagine AI automatically sending incorrect invoices, deleting customer data, or making promises your company can't keep. Human intervention requirements build trust with enterprise customers who need assurance that AI won't run amok with their sensitive operations. This control mechanism also provides legal protection and compliance advantages, as many regulations require human accountability for automated decisions affecting people.

The biggest mistake is applying blanket policies - either requiring human approval for everything (killing efficiency) or nothing (creating risk). Smart companies tier their controls based on risk level. Another pitfall is implementing token human review where staff just rubber-stamp AI decisions without real oversight, which provides false security and no real protection when audited.