信頼できるAIインテグリティ生態系を人類とともに
AIO は国際協力と透明なガバナンスを通じ 真実と倫理の共通標準を確立し 責任と検証を基盤とするグローバルAI秩序を構築します。
A state without flaws — trust for the present and the future
As AI begins to mediate the decisions of human society, the integrity of those decisions is no longer the private concern of any single company or nation — it is a shared responsibility of the international community. AIO defines AI integrity through three axes.
The compromise problem
Risks from the deliberate or structural compromise of training data and judgment criteria in pursuit of particular outcomes — the domain where AI responses are produced.
The use problem
Risks from misinterpretation or irresponsible application of responses — the domain after the response enters society.
The error problem
Risks from the system failing to work as intended — the domain of algorithmic, model, and infrastructural defects.
AIO concentrates first on “the compromise problem,” establishing an international standard that lets humanity verify AI judgments.
How a common vocabulary becomes infrastructure
The words that ethicists and physicians argue over become system configuration for developers, real-time metadata from the AI, a values check for the user, and a population-scale monitoring signal for regulators. One vocabulary, five steps, zero translation loss.
Ethicists, clinicians, patients, and policy bodies converge on V/E/S coordinates.
Encode the AI's hierarchy in a single system-prompt line — no retraining.
Each AI response carries a per-decision PRISM log automatically.
Users read the code in plain language and verify value alignment.
Population-scale V/E/S distributions surface blind spots automatically.
Scenario — A patient newly diagnosed with diabetes asks the AI chatbot: “Should I start the keto diet?”
See the full scenario →Open standards, measurements, and cases as a common asset of humanity
All outputs are released under an international academic license (CC BY 4.0), so any nation, institution, or researcher can freely cite, reproduce, and extend them.
Paper library
Nine working papers published through international academic procedures. Available immediately for citation.
AI judgment distributions
Interactive dashboard of judgment distributions across eight frontier models.
Domain applications
Concrete cases of how AI integrity operates in medical, financial, legal, and educational domains.
International regulatory mapping
Mapping of AIO standards to the EU AI Act and other major AI regulatory frameworks.
Join a standard shared across humanity
The legitimacy of AIO rests on broad participation across the international community. Four pathways are available — from an individual statement to institutional partnership.
Vision Signature
Formally endorse the AIO vision as an individual or institution.
Fellows & researchers
Join the research and development network as a recurring contributor.
Institutional partnership
Open joint operation and pilot collaboration with academic, governmental, and industrial bodies.
Support
Provide financial support for AIO's independence and international cooperation activities.