Collaborative Disagreement Resolution for Scalable Oversight
Debate, where AI agents argue opposing positions, has emerged as a key approach to scalable oversight. However, debate faces a fundamental tension: models are incentivized to be persuasive to the judge, which may not always align with epistemic honesty. In this work, we propose an alternative paradigm: disagreement resolution, which reframes the interaction mechanism from adversarial debate to collaborative truth seeking. Drawing on principles from human mediation and conflict resolution, where mediators facilitate dialogue to help disputing parties reach consensus rather than adjudicating between them, we design an automated pipeline that adapts these strategies to AI oversight. Unlike s...
| Authors | Yuyang Jiang, Chacha Chen, Teng Wu et al. |
|---|---|
| Primary category | cs.CY |
| Published | 2 June 2026 |
| Last updated at source | 2 June 2026 |
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