PUBLIC METHODOLOGY
NeoMundi Research progressively publishes its protocols, methodological principles, measurement thresholds, datasets, and governance elements.
This approach is based on a simple principle:
a measurement system cannot claim trust if it remains opaque, self-validated, or inaccessible to critical examination.
The field of AI governance is currently fragmented across safety, compliance, audit, explainability, observability, and certification.
Most approaches still rely on self-declarations by the providers themselves.
NeoMundi Research defends a different approach,
measurement must be:
- observable,
- documented,
- contestable,
- reproducible,
- and exposed to external scrutiny.
ORIENTATION AND VIGILANCE COMMITTEE
In line with this principle, NeoMundi Research is supported by an independent committee composed of profiles from research, industry, audit, governance, quality, and critical systems.
The committee is not intended to manage NeoMundi’s day-to-day operations or produce daily work.
Its role is to provide an external, critical, and methodological perspective on the proposed framework.
NeoMundi believes that no governance instrument can sustainably claim legitimacy without accepting external review.
The committee notably contributes to:
- contradiction (challenging assumptions),
- critical examination,
- identification of its own limits,
- and observation of its own mechanisms.
The committee is also committed to:
- challenging methodological assumptions;
- identifying blind spots and interpretation risks;
- confronting the work with industrial and regulatory realities;
- encouraging auditability and transparency;
- maintaining a high standard of rigor in published protocols.
FOUNDING MEMBERS
Joël IGNASSE: Scientific journalist for Sciences et Avenir and La Recherche. Author of « Sur les traces du Nouveau T.rex » (Eyrolles, 2025).
Cédric CHATELAIN: Quality consultant and IRCA-certified auditor, expert in audit, validation, and ISO standards. Based in Bern, Switzerland.
James AULL: Founder of ASRO™ – AI Systems Reliability Operator, focused on governed-state witness evidence, AI governance, and attestation frameworks. Based in Twin Lake, Michigan, United States.
PRINCIPLES
OBSERVATION
The AI market is now evolving toward systems capable of producing, recommending, classifying, prioritizing, or deciding in real-world environments. In this context, the absence of independent runtime measurement is gradually becoming a governance issue.
AUDITABILITY
The same observation applies: without independent, transparent, and reproducible measurement, trust remains based on declarations rather than verifiable facts.
GOVERNANCE ARCHITECTURE
The operational governance of a production AI system consists of an ordered chain:
1. Mandate : the legitimate authority that defines what must be measured and under which regime.
2. Protocol : the formal rule that specifies how the measurement is conducted and on which variables.
3. Measurement (ΔG) : the standardized continuous observation of the system’s behavior.
4. Attestation : the non-repudiable cryptographic anchoring of measurement outputs (qualified timestamping).
5. Certification : validation of the process by an independent accredited third party, producing enforceable evidence.
6. Execution Governance : decision thresholds, remediation regimes, and resulting actions.
A core principle structures this chain : who measures does not certify.
The separation of layers prevents circular validation chains.
NeoMundi Research occupies layer 3 : real-time measurement.
An open standard, formalized with independent partners, is currently being developed.
It will result in a formal deposit and publication.
