Quantifying AI Certainty: The 13 Vectors of Epistemic Awareness

AI reliability often fails because models lack a structured way to track their own knowledge gaps and context. This framework introduces 13 measurable vectors to prevent overconfidence and ensure AI agents are grounded in evidence before execution. By transforming 'knowing' into a trackable transaction, developers can build more predictable and self-aware AI systems.