Ontology-Enhanced AI: Redefining Trust and Adaptability in Artificial Intelligence

Mark Starobinsky

No fh4ue_v1, OSF Preprints from Center for Open Science

Abstract: Large Language Models (LLMs) have propelled AI forward, yet they falter with static knowledge, unreliable outputs, and regulatory misalignment. Ontology-Enhanced AI, developed by OntoGuard AI, introduces a visionary framework that transcends these limits by weaving dynamic knowledge structures with sophisticated validation, tackling the Peak Data Problem head-on. Poised to transform enterprise AI with unparalleled adaptability and trust, this approach aligns with standards like GDPR and the EU AI Act. While proprietary breakthroughs remain under wraps due to a pending patent, this paper unveils the concept’s potential to captivate technical acquirers and licensees.

Date: 2025-05-01
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:fh4ue_v1

DOI: 10.31219/osf.io/fh4ue_v1

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