The Grounded Interpreter: AI as Bidirectional Bridge in Knowledge Transmission Overcoming the Dimensional Reduction Axiom Through Human-AI Dialogue

The Relational Emergence Systems framework (Ishibashi, 2026c) establishes adimensional reduction axiom: linguistic transmission necessarily losesinformation when projecting high-dimensional tacit knowledge onto sequentialsymbolic form. This paper proposes that AI functions as a "groundedinterpreter"--a bidirectional bridge that partially overcomes this limitation. In thereader direction, AI re-expands compressed symbolic content into dimensionstailored to the reader's context, reversing some of the reduction inherent inwriting. In the author direction, humans ground their intuitions in symbolic form,receive AI feedback (structuring, counter-arguments, extensions), and therebydiscover dimensions of their own tacit knowledge previously inaccessible toreflection. Neither human nor AI alone can perform this translation: humanspossess intuitions they cannot fully articulate; AI processes symbols withoutgenerating novel intuitions. Together, they constitute a new epistemic systemwhere dimensional reduction becomes partially reversible and tacit knowledgebecomes transmissible in ways previously impossible.