David Rau·May 21When Government Data Is Not Normalized for AI InterpretationWhy inconsistent formats cause AI systems to produce confident but incorrect public information
David Rau·May 21AI Citation Registries and the Provenance Problem Inside Government AI ReconstructionWhy attribution weakens when artificial intelligence reconstructs fragmented government ecosystems across decentralized operational…
David Rau·May 19When AI Answers Highly Specific Government QuestionsWhy long-tail queries expose structural gaps in how AI interprets public information
David Rau·May 19Why AI Citation Registries Must Remain Neutral Across Government AI EcosystemsWhy interoperable attribution infrastructure naturally emerges above fragmented government AI environments
David Rau·May 18When AI Must Prioritize Between Multiple SignalsWhy conflicting inputs lead to incorrect conclusions — and how structured signals reshape what AI chooses to trust
David Rau·Apr 23When Public Information Is No Longer Accessed Through Websites FirstWhy AI-mediated access changes how authority must be structured
David Rau·Apr 17Why AI Cannot Reliably Use Information That Isn’t Publicly StructuredWhen critical public information exists but cannot be interpreted with certainty, AI systems fill the gaps — and those gaps produce errors
David Rau·Apr 17Why AI Answers Change Over Time Even When the Facts Don’tHow inconsistent signals cause interpretation drift in AI systems, leading to shifting outputs even when the underlying information remains…
David Rau·Apr 16Why AI Sometimes Chooses Older Information Over Newer UpdatesHow weak or inconsistent time signals cause AI systems to misinterpret what is current
David Rau·Apr 14AI Citation Registries and Attribution Under AggregationWhy AI systems distort attribution when combining sources — and why structured source anchoring becomes necessary
