From Debate to Decision: Conformal Social Choice for Safe Multi-Agent Deliberation
The paper introduces Conformal Social Choice to improve multi-agent debate safety. While agent consensus is not proof of correctness, this layer converts debate outputs into calibrated 'act-versus-escalate' decisions. It uses split conformal prediction to flag wrong consensus cases with high probability, making failures actionable without needing individual model calibration assumptions.