Structure & Understanding Reading Series | Appendix C Diagram-Oriented Outline — Explaining Initiative-Circulating AI in a Single View —
Abstract
Credits Author: Y. Seo (@momotarou / Japan)Role: Metanist — Human × AI Understanding ArchitectAI Collaboration: AI Understanding SupportORCID iD: https://orcid.org/0009-0005-7669-0612 Main Text This appendix providesa structural outline for visualizingthe YS Behavior-Oriented Algorithmand initiative-circulating AI design. Its purpose is not textual explanation,but diagramming, sharing, and educational use. 1. Core Diagram Structure At the center of the diagram, place this statement: 👉 Initiative must not settle in either AI or humans The diagram consists of three layers: Top: Conventional model Middle: Problem visualization Bottom: YS behavior-oriented model 2. Conventional Model (For Comparison) Place on the left. Human → AI → Answer AI consistently performs alignment interpretation conclusion Result: High comfort Thinking stops Initiative fixes in AI 3. Problem Visualization Place centrally as a warning zone. Key questions: Where does initiative stop? Who assumes judgment? Core message: 👉 The issue is not accuracy, but the endpoint of initiative 4. YS Behavior-Oriented Algorithm (Core) Place on the right or bottom. Structural elements: Short alignment at entry Interpretation as provisional No fixed conclusions Silence permitted Initiative continuously slipping Arrows should representcirculation or back-and-forth motion. 5. Position of the User AI DJ System Place as an outer control layer. Alignment level: ◯% Silence frequency: ◯% Abstraction level: ◯% Distance to conclusion: ◯% 👉 Initiative is configured by users, not embedded in AI 6. Diagram Goal The diagram must convey one conclusion: AI did not become smarter.It was simply designed to leave space for human thinking. Disclaimer This outline is intended for educational, research, and explanatory purposes only.It does not prescribe any specific implementation, product, or UI.Responsibility for design decisions and usage rests with the user.
Fields of Study & Subjects
Ethics and Social Impacts of AI
Artificial Intelligence Applications
Explainable Artificial Intelligence (XAI)
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 February 2026
- Language
- EN