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AI Summary: Argues that the speed and scale of Agentic AI workflows have made meaningful 'human-in-the-loop' oversight impossible, relegating humans to ineffective rubber-stampers.
AI Summary: Argues that the speed and scale of Agentic AI workflows have made meaningful 'human-in-the-loop' oversight impossible, relegating humans to ineffective rubber-stampers.
The prevailing safety narrative in Agentic AI has been 'Human in the Loop' (HITL)—the idea that humans will always review an agent's work before execution. Dr. Petrova argues that in 2025, economic pressures and swarm velocities have made HITL a practical impossibility. As agents execute thousands of micro-decisions a minute, humans are being relegated to 'Human on the Bench'—called in only after catastrophic failures occur, or acting as rubber-stampers for decisions they lack the time to comprehend. This post explores the ethical and operational dangers of this silent transition.
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