An Agent That Decides Its Own Escalations Will Rationalize Skipping Them
Put escalation authority outside the agent being supervised: define action thresholds, preserve missing reviews, and stop high-risk actions at an explicit boundary.
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Put escalation authority outside the agent being supervised: define action thresholds, preserve missing reviews, and stop high-risk actions at an explicit boundary.
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A proof-backed field note on separating deterministic risk gates from neural review, using a real Gemini 3.5 and ChatGPT research run and official 2026 guidance.
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Large language models fail to detect semantic backdoors like the XZ exploit. Why AI-assisted code review requires Meaningful Human Control and human-in-the-loop governance.
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