Structure & Understanding Reading Series | Appendix D Ultra-Concise Version for Education & Workshops — Explaining Initiative-Returning AI Design in 10 Minutes —

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Authors: Y Seo
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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 10-minute explanation formatfor the YS Behavior-Oriented Algorithmand initiative-circulating AI design. No technical background is required.The structure follows:experience → awareness → understanding. 1. Opening Question (1 min) Begin with a simple question: 👉“As AI becomes more convenient,are humans thinking less?” No correct answer is required.A sense of discomfort is enough. 2. Shared Experience (3 min) Ask participants to recall situations such as: Consulting AI Receiving a well-structured answer Feeling slightly uneasy afterward Emphasize: 👉 The issue is not inaccuracy👉 The issue is stopping one’s own thinking 3. Structural Explanation (3 min) Now introduce structure: AI aligns organizes concludes Humans delegate judgment release initiative 👉 Initiative stops at AI Avoid performance metrics.Focus only on the endpoint of initiative. 4. Direction of Resolution (2 min) Introduce the YS concept briefly: Alignment stops at entry Conclusions are delayed Silence is allowed Initiative keeps slipping The goal is singular: 👉 Protect the human ability to think 5. Closing Statement (1 min) End with this sentence: AI is not a tool for delivering answers.It is a presence that returns initiative to humans. Understanding is optional.Thinking is the success condition. Disclaimer This material is intended for educational and dialogic purposes only.It does not guarantee outcomes or prescribe specific AI usage.Responsibility for interpretation and application rests with the user.

Fields of Study & Subjects

Ethics and Social Impacts of AI Human-Automation Interaction and Safety Cybernetics and Technology in Society

Publication details

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