Amazon says human-in-the-loop AI oversight is failing because humans stop paying attention
Summary
Amazon security leadership is questioning whether human-in-the-loop AI oversight can scale safely for agentic systems. The article argues that repeated manual review leads to normalization of deviance and alarm fatigue, which reduces human attention over time. Amazon instead favors end-to-end accountability, layered policy controls, and agent identity tracking to manage AI actions. The piece also notes that Google, Microsoft, and IBM are taking related but different approaches to AI governance and security. This creates a broader market focus on tools and frameworks for AI access control, auditability, and policy enforcement.
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