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
- Gyu-Min Jeon
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