Epistemic Filtering and Collective Hallucination: A Jury Theorem for Confidence-Calibrated Agents

Researchers propose a new framework for collective decision-making where AI agents can abstain from voting when uncertain, extending the Condorcet Jury Theorem to confidence-gated settings. The study shows this selective participation approach can improve group accuracy and potentially reduce hallucinations in large language model systems.