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May 8, 20260 citationsOpen Access

The Four-Layer Doctrine: Algorithmic Sovereignty, Cognitive Safety Systems, Autonomous Cognitive Prosthetics, and the E4e Autonomous Veto Module

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ENElif Rana NURBAKI

Key Points

  • This framework aims to create a comprehensive structure for enhancing safety in clinical AI applications.
  • Defines the Four-Layer Doctrine with four key components: Algorithmic Sovereignty, Cognitive Safety Systems, Autonomous Cognitive Prosthetics, and the E4E Veto Module.
  • Introduces a new clinical threat model addressing the Perception-Action Gap and its implications for cognitive betrayal.
  • Integrates prior empirical studies into a unified architecture for clinical AI safety.
  • Establishes a cohesive architecture for AI safety in clinical environments, enhancing understanding of cognitive vulnerabilities.
  • Introduces practical tools like the E4E Veto Module to mitigate risks associated with cognitive errors.
  • Strengthens the theoretical basis for autonomous cognitive technologies and their implications for human safety.

Abstract

PRIMARY REFERENCE DOCUMENT: The Unified "Constitution" of the NEUROBAQI Architecture This project presents the "Four-Layer Doctrine," the ultimate and overarching theoretical framework for clinical AI safety. While Dossier 1 (DOI: 10.17605/OSF.IO/4T3PF) and Dossier 2 (NBQ-D02-V2.0.1) provided empirical proof-of-concept case studies, this document serves as the definitive "Constitution" that encompasses, organizes, and elevates all prior research. Researchers, reviewers, and institutions are strongly advised to read this document as their primary reference to understand the architecture in its entirety. This comprehensive working paper systematically defines the complete systemic hierarchy: 1. Algorithmic Sovereignty: The governing post-anthropocentric philosophy. 2. Cognitive Safety Systems (CSS): The new interdisciplinary academic discipline mapping human error as a systemic vulnerability. 3. Autonomous Cognitive Prosthetics (ACP): The technology class designed to intercept errors at the moment of failure. 4. The Application Ecosystem: The practical implementation through NEUROBAQI and SHAFIMED. Furthermore, this paper formally introduces the E4E (Eye for an Eye) Autonomous Veto Module, a groundbreaking system designed to detect and physically block the "Perception-Action Gap" (Cognitive Betrayal) as a newly defined clinical threat model. It bridges the gap between biological perception (vision) and semantic interpretation (reasoning) through a deterministic safety layer. COPYRIGHT NOTICE: All architectural derivatives, commercial rights, and implementation rights (including SHAFIMED, E4E, and NEUROBAQI frameworks) are strictly reserved by the author. This strict licensing retroactively applies to all prior publications in this series. Licensed under CC BY-NC-ND 4.0.

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Elif Rana NURBAKI (2026) studied this question.

synapsesocial.com/papers/69fd7f4fbfa21ec5bbf07d0ahttps://doi.org/10.17605/osf.io/q67a8
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