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

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  • Starobinsky, Mark

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.

Suggested Citation

  • Starobinsky, Mark, 2025. "Ontology-Enhanced AI: Redefining Trust and Adaptability in Artificial Intelligence," OSF Preprints fh4ue_v1, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:fh4ue_v1
    DOI: 10.31219/osf.io/fh4ue_v1
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