I-HATR Integration Layer Within TCF/TFB and the Anonymo AI Framework Technical Annex v1.0

Montgomery Christian

doi:10.5281/zenodo.19193152

March 23, 2026Open Access

I-HATR Integration Layer Within TCF/TFB and the Anonymo AI Framework Technical Annex v1.0

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Key Points

The aim is to document the integration of a human–AI trust calibration layer within the TCF/TFB framework.
Detailed technical documentation of the I-HATR layer integration
Analysis of behavioral governance aspects in AI frameworks
Overview of core framework modifications or lack thereof
I-HATR serves as a complementary governance layer for trust calibration
Supports uncertainty disclosure in AI interactions
Facilitates controlled interaction logic without modifying the core framework

Implication

Technical annex documents the integration of a trust calibration layer in AI frameworks, indicating improved governance.

Abstract

Technical annex documenting the integration of a Human–AI trust calibration layer within the broader TCF/TFB and Anonymo AI Framework architecture. This record presents I-HATR as a complementary behavioral governance layer, supporting calibrated trust, uncertainty disclosure, and controlled interaction logic without modifying the core framework.

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Cite This Study

Montgomery Christian (2026) studied this question.

synapsesocial.com/papers/69c37b54b34aaaeb1a67d9f8 https://doi.org/10.5281/zenodo.19193152

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I-HATR Integration Layer Within TCF/TFB and the Anonymo AI Framework Technical Annex v1.0

Key Points

Implication

Abstract

Discussion

Cite This Study

I-HATR Integration Layer Within TCF/TFB and the Anonymo AI Framework Technical Annex v1.0

Key Points

Implication

Abstract

Discussion

Cite This Study

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