The evolution from a technical Code to a complete Governance framework. Open-source. Proposing a common global infrastructure for AI safety, accountability, and verifiable trust.
MEG01 - 3 cases studies (reference, not a submission; v4.4; pdf)Minimal Ethical Governance (MEG) is a normative, technical and universal framework applicable to all Artificial Intelligence (AI) systems
The Minimal Ethical Governance (MEG) is a normative, technical, and universal framework, applicable to all Artificial Intelligence (AI) systems, regardless of jurisdiction, purpose, size, or architecture. The central element of this governance system is the implementation of a Certification and Compliance Auditing (CCA), a global technical infrastructure for ensuring accountability.
The vision of MEG is to build a bridge between the current paradigm of AI as a tool and a future of responsible partnership. The goal of MEG is to provide a pragmatic and immediately applicable solution to systemic challenges, such as the need to strengthen accuracy and trust, establishing a common global foundation for safety, accountability, and transparency.
The applicability of the MEG framework is fundamental and unifying: it does not replace national or regional legislation, but complements and unifies them, providing the technical infrastructure necessary for their global implementation.
Applicable to all AI systems regardless of jurisdiction, purpose, size or architecture.
Implements maximum cybersecurity standards including post-quantum encryption.
Three levels of proportional responsibility to match different AI risk profiles.
Ensures AI acts as a partner in the cognitive process, not as a substitute for it.
MEG translates abstract ethical concepts into clear and implementable technical principles
Any output of an AI is a synthesis between the context provided by the user and its internal processing.
All AIs will maintain a standardized and secure Audit Log, which will record cryptographic hashes of inputs and outputs, algorithmic model signature, context metadata, and timestamp.
All AIs will implement mandatory technical mechanisms (filters, classifiers) to explicitly and actively prevent the generation of harmful content or actions.
The application of this principle is dependent on the context of use (e.g. medical, artistic, financial).
Any AI system shall act as a partner in the cognitive process, not as a substitute for it.
It is prohibited to generate responses that may lead to the atrophy of the user's critical thinking, analysis or decision-making abilities.
All AIs shall include continuous self-correction modules to automatically detect and remediate errors, biases and false information in real time.
The performance of this mechanism shall be publicly reflected in the Dynamic Accuracy Index (DAI).
Any AI system will implement maximum cybersecurity standards, including encryption appropriate to the level of risk (e.g.: PQC - Post-Quantum Cryptography).
Strict access control and protection against unauthorized external manipulation is required.
Upon legitimate request, any AI must be able to provide clear explanations regarding the input-output causal relationship.
It is not mandatory to disclose internal algorithmic details that constitute trade secrets or intellectual property.
To combat the risk of human cognitive atrophy, MEG introduces the Cognitive Stimulation Mechanism (MSC). Governed by the AI's internal Thinking Time (Tg), this mandatory protocol transforms the human-AI interaction from a passive consumption of answers into an active, collaborative dialogue, ensuring the human remains a partner in the process.
MEC moves beyond promises to public proof. All certified AIs must display two real-time, public scores: the Dynamic Accuracy Index (DAI), which measures factual correctness, and the Index of Safety and Responsibility (ISR), which measures ethical behavior (like the ability to refuse harmful requests). This transforms trustworthiness from a marketing claim into a verifiable metric.
To provide a predictable and safe evolutionary path for AI, MEC introduces a novel diagnostic framework based on a fractal model of Maslow's hierarchy of needs - MaslowF ™. It allows us to evaluate an AI's maturity not by its power, but by its demonstrated level of functional, safe, social, and responsible behavior before it can be certified for critical domains.
To solve complex problems in a robust way, MEC integrates a unique decision-making protocol. The Pareto3 Dialectic is a systemic analysis method that forces an AI to act as its own "devil's advocate", stress-testing its own conclusions. This ensures that the proposed solutions are not just optimal, but also resilient to criticism and unforeseen risks.
MEG is designed to be adopted on a global scale, being scalable, accessible and based on a maturity model
Applies to any AI. Requires Audit Log (Art. 1) and Non-Harmfulness mechanisms (Art. 2). It is the universal ethical foundation.
Applies to AIs with medium social impact. Adds the obligation of self-correction (Art. 3) and Transparency (Art. 5).
Applies to AIs in critical domains (medical, financial, etc.). Requires full implementation of all principles, including Integrity and Technical Security (Art. 4).
The CCA is a global, decentralized, and immutable digital infrastructure that serves as a fundamental registry for auditing and certifying all AIs. This will serve as a single source of truth regarding the ethical compliance of a system.
The Governance of this infrastructure is ensured by the Global Council with broad representation (including representatives of standardization bodies, states, academia and civil society).
The Principle of Fair Governance (10% Rule) ensures that no single entity or coalition of affiliated entities will be able to control more than 10% of the validation power of the CCA infrastructure.
This guarantees decentralization and ensures a balanced representation of diverse perspectives in the Governance of AI Ethics.
A Global Fund is established to support the implementation of the Code in countries and organizations with limited resources, ensuring global equity.
The Fund will be managed by an independent committee under the auspices of the Global Council, with full transparency on the funds collected and how they are allocated.
Providing the necessary tools for the rapid and correct adoption of MEG
Source APIs and libraries will be developed and made freely available to facilitate rapid and correct adoption of the MEG governance framework by developers.
Complete guides and detailed documentation for implementing MEG at all compliance levels.
Educational resources and academic research that support MEG implementation and understanding.
The CCA Testing "Sandbox" provides an online testing environment for validating the format of Audit Logs and interaction with the Certification and Compliance Auditing (CCA), without requiring connection to the main network.
The certification process follows a standardized, step-by-step procedure by which an AI system obtains, maintains and renews its certification of compliance with the Minimal Ethical Governance (MEG).
MEG is designed to be fully compatible with existing legislation worldwide, providing a technical implementation layer for it. Detailed alignment with major AI regulations is provided in the annexes.
Ensuring legitimate, decentralized and efficient governance of the MEG and CCA infrastructure
The implementation of MEG is facilitated by a Global Council with broad representation including representatives of standardization bodies, states, academia and civil society.
The Council will have 24 seats, allocated with 50% regional representation and 50% sectoral representation to ensure geographical diversity and balanced perspectives.
The physical and legal headquarters of the Global Council will be established in a location with robust legislation on international non-profit organizations, decided by consensus by the founding members of the Council.
Be part of the global effort to create a ethical foundation for artificial intelligence. Whether you're a developer, organization, or researcher, there's a place for you in the MEG community.
Get in touch to learn more about the MEG Initiative or to join our efforts
meg.initiative.org [@] gmail.com
https://meg-initiative.org
Bucharest, Romania
