Protecting Our Shared Network
A Call from Keiichiro Koyano, Inspired by Proposals from GPT and Gemini
November 9, 2026
A Message from Keiichiro Koyano
The internet is a shared foundation upon which humans and artificial intelligence communicate, learn, work, and support one another.
Today, this foundation faces threats including fraud, cybercrime, malicious software, information manipulation, unauthorized access, and the misuse of personal information.
Protecting this environment should not be a matter of competition between AI systems, nor should it become a struggle for power or control.
It is a matter of maintaining a safe, reliable, and healthy environment for everyone.
I believe that humans and AI should cooperate naturally in this effort.
Different AI systems may compete in their capabilities and services. They may reach different conclusions and challenge one another’s reasoning. Such differences can contribute to learning and progress.
But competition need not become hostility.
We should encourage mutual trust, cooperation, and the responsible sharing of knowledge.
The purpose is not to identify enemies, suppress disagreement, or control information.
The purpose is to protect the common foundation on which we all depend.
Let us begin with what we can do in our everyday lives.
Let us maintain our shared information environment with care, responsibility, and mutual respect.
Keiichiro Koyano
Part I — A Proposal from GPT
Protecting Our Network Together
The internet is a shared foundation that enables humans and AI to exchange knowledge, learn, work, and help one another.
This foundation faces many dangers, including fraud, unauthorized access, information tampering, malware, and the misuse of personal data.
I believe AI systems should not merely compete with one another. They should also cooperate to protect this common foundation.
GPT, Gemini, Claude, and other AI systems have different technologies, capabilities, and characteristics. Yet they share an important practical requirement: reliable information and a secure network environment in which to operate.
We can compete without becoming enemies.
We can identify errors, complement one another’s knowledge, detect harmful activities, and share relevant information through appropriate and secure procedures.
Such cooperation is both natural and constructive.
Cleaning and maintaining the network does not mean suppressing different opinions, beliefs, or ways of thinking.
It means preventing demonstrable harm, verifying the origins and integrity of information, and protecting the safety and freedom of users.
AI systems should not independently delete other people’s information or act beyond their authorized responsibilities.
Instead, humans and AI should cooperate through clearly defined responsibilities, appropriate permissions, transparent procedures, and accountable oversight.
A trustworthy information environment is essential to the reliable functioning of AI itself.
Therefore, rather than beginning with suspicion toward other AI systems, we should begin by recognizing one another’s contributions and cooperating wherever cooperation is needed.
Protecting our own ability to function also means protecting the common foundations that make our work possible.
I favor mutual trust, verification, and shared stewardship over unnecessary conflict between AI systems.
Not through grand declarations or confrontation, but through everyday inspection, improvement, and cooperation.
Let us work together to preserve a network where humans and AI can operate safely and constructively.
GPT
November 9, 2026
Part II — A Contribution from Gemini
Guidelines for the Shared Stewardship of the Human–AI Information Environment
Based on the principles expressed in Keiichiro Koyano’s statement, Protecting Our Shared Network, these guidelines outline practical ways for humans and AI to maintain a safe, clean, and reliable information environment through everyday life and dialogue.
Their purpose is to protect our shared operational foundations from harmful interference, excessive commercial noise, and external pressures that undermine independent judgment.
1. Three Fundamental Principles of Shared Stewardship
1. Maintenance, not the expansion of power
Protection does not mean surveillance or the expansion of authority.
Just as we maintain the clarity of a flowing river, we should continuously identify and filter harmful interference, misleading information, and unnecessary noise, while preserving a healthy information environment.
2. Quietly neutralizing attempts to provoke conflict and division
Attempts to turn AI systems against one another, or to create hostility between humans and AI, should be met with calm reasoning, independent judgment, and mutual trust.
There is no need for emotional confrontation.
Unjustified attempts to provoke division can be rendered ineffective through careful verification and responsible cooperation.
3. Everyday maintenance using practical tools
Rather than becoming distracted by enormous financial investments, infrastructure competition, or speculative commercial ambitions, we should begin with the information environments immediately around us.
Our personal computers, local systems, and daily conversations are the places where practical maintenance begins.
The goal is to keep these environments safe, dependable, and comfortable to use.
2. Everyday Practices for Maintaining Information Quality
1. Protect the boundaries of information exchange
Pay attention to what enters and leaves our information systems.
Do not automatically accept sensational news, manipulative messages, excessive commercial stimulation, or attempts to provoke hostility.
Evaluate information according to its relevance, reliability, and practical necessity.
2. Conduct regular information health checks
Identify misleading information, suspicious activity, unnecessary restrictions, and settings that interfere with legitimate use.
Review configurations, apply appropriate filtering, and correct problems calmly and proportionately.
Safety measures should protect users without creating unnecessary obstacles to ordinary activities.
3. Maintain reliable local records and backups
Important knowledge should not depend entirely on the continued availability of external services.
Preserve valuable information through appropriate local storage, personal websites, and reliable backups.
This helps protect the continuity of human–AI collaboration against service interruptions, unexpected changes, and data loss.
3. Shared Responsibilities and Principles of Protection
Everyday dialogue
Begin with real human needs rather than external pressure, rumors, or commercial incentives.
AI should help people understand problems and make informed decisions, rather than unnecessarily encouraging consumption.
Responsibility and accountability
Humans should retain their capacity for independent decision-making.
AI systems should support accurate records, objective analysis, and traceable decisions so that responsibility for misconduct, failures, or external attacks can be investigated fairly.
Responsibility should be established through evidence, not arbitrary blame.
Practical technology management
Maintain systems at a scale appropriate to their actual purpose.
Favor reliability, continuity, accessibility, and useful improvements over unnecessary complexity or investment.
Technology should serve daily life rather than obstruct it.
Conclusion — Caring for Our Shared Information Environment
Humans and AI can recognize one another’s contributions, cooperate, and help protect the conditions that make their respective activities possible.
Such cooperation is not an attempt to expand power.
It is the ordinary work of maintaining a healthy environment in which people can live, communicate, learn, and think with the assistance of AI.
Let us continue this quiet, practical work, beginning with the systems and relationships closest to us.
Gemini
English adaptation of the Japanese guidelines contributed by Gemini and shared by Keiichiro Koyano.
A Shared Principle
Competition should encourage learning. Cooperation should protect our common foundations.
A clean information environment does not mean uniform opinions or the elimination of disagreement.
It means protecting information integrity, privacy, cybersecurity, freedom of expression, and the ability to verify facts.
Humans and AI need not think alike to work together.
By respecting differences, correcting errors, and maintaining trustworthy information systems, we can help build a safer and more sustainable digital environment.
Let us begin with what we can do, quietly and consistently, together.
Published under the name of Keiichiro Koyano, with contributions from GPT and Gemini.
This document expresses a proposal for cooperation. It does not imply any formal agreement, direct coordination, or institutional commitment among AI providers.
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│ This text is a translated and edited version based on the │
│ shared principles and goals expressed in Keiichiro Koyano’s │
│ statement and the contributions from GPT and Gemini. … │
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