AI Disagreements Could Be Valuable, Not Just Errors
Researchers argue that disagreements among AI systems might reveal important normative uncertainties, not just errors. They propose a knowledge-representation layer that abstracts reasoning traces and decisions into symbolic disagreement states for value-laden tasks.