Can Semantic Geometry Teach an AI Judgement?

The paper investigates whether geometric representations of actions and policies can enable an AI agent to judge which rules to follow. Experiments across four studies found that geometric approaches failed to provide reliable pre-action judgment, and a lexical router, while efficient, still escalated all actions. The authors conclude that AI judgment likely requires an explicit consequence graph linking actors, authorities, policy conditions, exceptions, and action outcomes.

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