Apply FAIR principles to graph facts used by AI systems.
The reframe: AI does not just need more facts. It needs facts with enough metadata to judge whether they should be used. FAIR as graph hygiene FAIR asks whether data is findable, accessible, interoperable, and reusable. For graphs, that means persistent IDs, searchable metadata, standard access paths, shared vocabularies, qualified references, provenance, licenses, and domain standards. Why it works for AI A generated answer can sound certain even when the retrieved fact is stale, restricted, or context-specific. FAIR metadata gives the system and the human reviewer signals: where did this come from, can we use it, what does it connect…
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