AI RESEARCH
Are You the A-hole? A Fair, Multi-Perspective Ethical Reasoning Framework
arXiv CS.AI
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ArXi:2605.00270v1 Announce Type: cross Standard methods for aggregating natural language judgments, such as majority voting, often fail to produce logically consistent results when applied to high-conflict domains, treating differing opinions as noise. We propose a neuro-symbolic aggregation framework that formalizes conflict resolution through Weighted Maximum Satisfiability (MaxSAT). Our pipeline utilizes a language model to map unstructured natural language explanations into interpretable logical predicates and confidence weights.