Human review is often treated as the fail-safe for AI agents. But when a reviewer can't understand what happened, or doesn't have the time to check, approval becomes a formality—and the controls that don't depend on catching the mistake start to matter more.
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Who Is Responsible for Keeping AI Systems Safe?
When an AI system causes harm, responsibility rarely sits in one place. A look at the operational and security side of AI safety—who controls which safeguards, and who is in a position to reduce the risk.