State-dependent error correlations shape voting thresholds in committees of AI agents
arXiv:2607.23931v1 Announce Type: new Abstract: The aggregation benefit of a committee of artificial intelligence (AI) agents comes from complementary information across members. Classical voting guarantees assume independent errors. Language-model errors often co-occur on the same cases. We combine Sah-Stiglitz screening with error dependence that can differ between good and bad cases. In a homogeneous exchangeable Gaussian-copula model, shared errors create a positive asymptotic error floor fo
Record details
Published: 28 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Agents & autonomy
Retrieved: 28 July 2026
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ethics.ai (28 July 2026), “State-dependent error correlations shape voting thresholds in committees of AI agents,” evidence record 13792, https://ethics.ai/record/13792 (originally published by arXiv cs.CY).
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