AI database agents need "result contracts" that provide metadata alongside raw data, rather than just returning rows. This ensures trust, simplifies debugging, and prevents the loss of important caveats in production environments.
Schema markup alone is insufficient for reliable AI attribution due to inconsistencies, varied implementations, and the need for AI systems to interpret it, which introduces ambiguity. An AI Citation Registry is proposed as a machine-readable publishing system to reliably identify authoritative sources and ensure clear provenance and timestamps.
O texto aborda como sistemas de IA perdem significado institucional e situacional ao resumir informações, devido à fragmentação de conteúdo que desvincula metadados estruturais cruciais. Isso resulta em respostas geradas pela IA que são confiantes, mas imprecisas, por falta de contexto.