A Closed Normative Admissibility Doctrine for Artificial Intelligence

The Reflexive Invariance Canon is a closed normative doctrine defining conditions under which an artificial intelligence system is inadmissible to exist, independent of performance, optimization, or mitigation.

This Canon is not an AI model, framework, architecture, or implementation method.

It functions as a governance and admissibility authority for risk, disputes, regulatory-facing, and expert opinion contexts.

The Canon is authored and held by Tony T. Nguyen and is available only through limited licensed use.

No implementation. No derivatives. No public release.

Visualizing thought patterns through layered diagrams.

Author & Authority Holder

Tony T. Nguyen is the original author and sole authority holder of the Reflexive Invariance Canon.

The Canon represents a closed normative position governing the admissibility of artificial intelligence systems at the level of existence legitimacy.

All interpretive authority, definitional control, and licensing rights remain with the Author.

The Canon is not open for adaptation, extension, or implementation.

Professional inquiries are limited to licensed governance and expert use only.

Licensing Inquiries

The Reflexive Invariance Canon is available for limited licensed use in:

– governance review
– disputes and investigations
– regulatory-facing analysis
– expert opinion contexts

The Canon is non-implementable and non-derivative.

Licensing inquiries only.

Contact: [tony@highlandreflexivepress.com]