VitalGuard: Constraint-Based Ethical Design for Ultra-Lightweight Offline AI in Humanitarian Contexts

VitalGuard is an ultra-lightweight offline AI artefact designed for humanitarian and high-surveillance environments. The system operates entirely offline with zero external dependencies, no outbound network calls, and no persistent data retention. This preprint presents a constraint-based ethical design framework focused on auditability, privacy-by-non-collection, and low-resource deployment feasibility. Attachments (Total: 53 Pages) • Overview: VitalGuard_Offline_AI.pdf (27 pages)• Structure: On_Page_54kb_AI.pdf (3 pages)• Technical Research Paper: VitalGuard_Working_Hypothesis_Paper.pdf (11 pages)• Acoustic Signaling: offline_ultrasonic_communication_layer.pdf (12 pages) Offline AI Vanilla JS Code: 44KB Offline AI Ultra-Lightweight On-Device Travel Safety Classifier.html 21KB Offline AI-Lightweight Offline Reinforcement Learning in Vanilla JavaScript.html Ethical 21KB-Offline Adaptive Decision-Making System.html (487KB) VitalGuard_AI_complete_V43_8.html (Built with Vanilla JavaScript) (965KB) VitalGuard_Integrated_Modular_Code_V1_0.html (Includes Ultrasonic Communication Technology) (39KB) vitalguard_music_cloak V1.0.html (Example of an Offline Ultrasonic Communication Layer) Reference link: https://mcorpai.org/Dual_Brain_Micro_AI.html

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-21
DOI
https://doi.org/10.5281/zenodo.20319523
Primary Topic
Adversarial Robustness in Machine Learning
Type
preprint
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preprint

VitalGuard: Constraint-Based Ethical Design for Ultra-Lightweight Offline AI in Humanitarian Contexts

Gyu-Min Jeon
Zenodo (CERN European Organization for Nuclear Research)
Adversarial Robustness in Machine Learning
preprint

VitalGuard: Constraint-Based Ethical Design for Ultra-Lightweight Offline AI in Humanitarian Contexts

Gyu-Min Jeon
preprint en

Abstract

VitalGuard is an ultra-lightweight offline AI artefact designed for humanitarian and high-surveillance environments. The system operates entirely offline with zero external dependencies, no outbound network calls, and no persistent data retention. This preprint presents a constraint-based ethical design framework focused on auditability, privacy-by-non-collection, and low-resource deployment feasibility. Attachments (Total: 53 Pages) • Overview: VitalGuard_Offline_AI.pdf (27 pages)• Structure: On_Page_54kb_AI.pdf (3 pages)• Technical Research Paper: VitalGuard_Working_Hypothesis_Paper.pdf (11 pages)• Acoustic Signaling: offline_ultrasonic_communication_layer.pdf (12 pages) Offline AI Vanilla JS Code: 44KB Offline AI Ultra-Lightweight On-Device Travel Safety Classifier.html 21KB Offline AI-Lightweight Offline Reinforcement Learning in Vanilla JavaScript.html Ethical 21KB-Offline Adaptive Decision-Making System.html (487KB) VitalGuard_AI_complete_V43_8.html (Built with Vanilla JavaScript) (965KB) VitalGuard_Integrated_Modular_Code_V1_0.html (Includes Ultrasonic Communication Technology) (39KB) vitalguard_music_cloak V1.0.html (Example of an Offline Ultrasonic Communication Layer) Reference link: https://mcorpai.org/Dual_Brain_Micro_AI.html

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Adversarial Robustness in Machine Learning
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VitalGuard: Constraint-Based Ethical Design for Ultra-Lightweight Offline AI in Humanitarian Contexts — Gyu-Min Jeon · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS