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AI Agents Push Humans Out of the Loop
Watching an AI agent all day wears down the very skills needed to catch its mistakes.
How it works
Oversight is assumed
Rules and vendors say a human must check agent actions, but give users almost no tools to do it well.
Trace the degradation
Approval fatigue, automation bias and skill atrophy pile up, and tired approvals then feed back into training signals.
Build cognitive scaffolding
Developers add friction, decision design and monitoring. Deployers add training, breaks, rotations and role separation.
From the paper