Deterministic Decision Boundary

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Authors: Independent Researcher
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Abstract

Deterministic Decision Boundary is a non-operational, authority-closed reference artifact. This publication establishes a strict distinction between decision and process.Within this boundary, a decision is not an interpretable sequence of actions, deliberations, or procedures.A decision exists only as a fact of admissibility. Any outcome that requires explanation, reconstruction, or justification does not qualify as a decision within this boundary. This record does not define who decides, how decisions are produced, or how governance is implemented. It provides no operational guidance, mechanisms, or enforcement models. Its sole function is to fix a boundary in which interpretability, procedure, and audit cannot be substituted for admissibility. Status and Scope This record is strictly referential and non-operational.It introduces no system, framework, policy, or implementation guidance. Non-Claims This record:– makes no legal, regulatory, or compliance claims;– provides no recommendations;– asserts no facts about any real-world system or incident. Authority and Interpretation Any interpretation beyond the literal text of this record is not authorized. License and use notice: This artifact is released under CC BY-NC-ND 4.0 It may be read, cited, linked, and referenced with attribution. No commercial use, modified versions, derivative specifications, operational claims, service claims, or implied endorsement are granted by this publication. No implementation, operational, commercial, licensing, evaluation, conformity, equivalence, endorsement, or authoritative interpretation rights are granted by this publication. Any such use requires separate written permission from the author. Licensing and interpretation framework: https://doi.org/10.5281/zenodo.18381146 Current clarification version: https://doi.org/10.5281/zenodo.19846720

Fields of Study & Subjects

Explainable Artificial Intelligence (XAI) Ethics and Social Impacts of AI Administrative Law and Governance

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 February 2026
Language
EN