This invention describes a computer system that uses a type of artificial intelligence (AI) called "deductive AI" to check and track incoming data, especially within a vendor's operational process. This system considers existing knowledge structures and conflicting information. The checked data then goes through a continuous feedback loop where it helps another type of AI, "inductive AI," learn and improve its understanding, guided by an AI expert system. This learning process then helps create rules for automatically authorizing user actions, specifically including indexing and analyzing the data.
Why it matters: Filed before the widespread adoption of advanced large language models and sophisticated AI orchestration platforms. These advancements now make the development and integration of complex deductive and inductive AI systems, expert systems, and ontology management significantly more feasible and powerful for continuous learning and auditability.
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