Calibrating Conservatism for Scalable Oversight

Agentic AI systems capable of autonomous planning and extended environmental interaction pose a fundamental control problem: how can humans maintain meaningful oversight of systems that may exceed their own capabilities? Existing approaches to scalable oversight rely on complex assumptions, remain largely heuristic, or lack practical methods for sequential settings with statistical guarantees. We introduce Calibrated Collective Oversight (CCO), which aggregates diverse auxiliary scoring function

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ethics.ai (27 May 2026), “Calibrating Conservatism for Scalable Oversight,” evidence record 3565, https://ethics.ai/record/3565 (originally published by arXiv).

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