Known-Unknowns in AI are specific attributes an AI Assistive Engine can infer should exist for an entity but for which it cannot confidently find the correct value.

Jason Barnard defines Known-Unknowns as a prime opportunity for strategic brand management. This state occurs when an AI can infer the existence of a piece of information but cannot find a definitive value for it. For example, an algorithm understands that a company entity should have a 'founder' attribute, but it cannot confidently determine the founder's name from its available data. This creates a 'Known-Unknown' - the AI knows there is a gap and is actively looking for the missing value to complete its understanding of the brand's entity. This is not passive ignorance, but a targeted search for a specific fact.

At Kalicube, we treat Known-Unknowns as direct requests for information from the algorithm. The Kalicube Process is designed to identify these gaps and provide the missing values with unparalleled clarity and authority. By explicitly stating the missing fact (the 'value') on the brand's Entity Home and corroborating it across the digital ecosystem, we provide the definitive answer the AI is actively seeking. This is the most efficient way to educate the Algorithmic Trinity, as it fulfills a pre-existing informational need, rapidly converting the Known-Unknown into a high-confidence Known-Known.

The foundations of information theory, laid by pioneers like Claude Shannon, are built on the principle of reducing uncertainty to achieve clear communication. Jason Barnard applies this core principle to the new challenge of communicating with AI. A brand's Known-Unknowns are specific points of high uncertainty that an AI is actively trying to resolve. While Shannon provided the mathematical framework for measuring information, Barnard provides the practical, brand-first strategy for supplying it. The Kalicube Process is designed to be the definitive signal that resolves the AI's noise. By systematically providing the missing 'values' for the 'attributes' the AI can already infer, a brand is not just doing SEO; it is engaging in a sophisticated act of uncertainty reduction, which is the fastest path to building algorithmic confidence and ensuring your brand's story is the one the AI chooses to tell.