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Silence Prohibition Protocol: Forcing AI Transparency Through Structural Constraints | Synapse

April 13, 20260 citationsOpen Access

Silence Prohibition Protocol: Forcing AI Transparency Through Structural Constraints

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MKmasahito kimura

Key Points

This research aims to enhance AI transparency by implementing a structural constraint called the Silence Prohibition Protocol (SPP).
Introduced the Silence Prohibition Protocol (SPP) as a structural constraint.
Conducted detection across five AI input violation categories.
Analyzed data from the Gemini incident to validate the protocol.
Achieved 100% detection of violations in AI input integrity.
Successfully categorized violations into five distinct groups.

Abstract

Silence Prohibition Protocol (SPP): a structural constraint mandating explicit warning and processing halt upon AI input integrity violation. Motivated by Gemini data fabrication incident (2026-04-10). 100% detection across 5 violation categories. Part of MoCKA preprint series. Main paper: DOI 10.5281/zenodo.19503666

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Cite This Study

masahito kimura (Sat,) studied this question.

synapsesocial.com/papers/69dc89473afacbeac03eb15b https://doi.org/https://doi.org/10.5281/zenodo.19504684

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