Governance / Mind / AI
Standing Preserving Admissibility Conditions for Artificial Epistemic Agents
This paper specifies the necessary conditions for admissibility that preserve standing in artificial epistemic agents . It shows that admissibility is not achieved by performance, learning, optimization, or internal coherence, but only by satisfying standing-preserving constraints on reference, scope, and commitment. By exhaustion, all alternative criteria-probabilistic validation, success metrics, governance certification, or architectural sophistication-are eliminated as insufficient. The result fixes admissib...