When authority signals are weak or absent, AI systems infer the source—often incorrectly. “Why does AI say the county issued this alert when it actually came from the city?” The answer appears confident, citing evacuation guidance and attributing it to a regional authority that never issued the statement. The timing is off, the jurisdiction is wrong, and the source has been reassigned without indication. The output is not partially correct—it is structurally incorrect, presenting authority where none exists and omitting the authority that does. How AI Systems Separate Content from Source AI systems do not process information as intact documents. They break content into fragments, extracting statements, phrases, and data points from across multiple sources. These fragments are then recomposed into a new response that appears cohesive, but the structural relationships between those fragments—who issued them, when, and under what authority—are not inherently preserved.…