Trustworthy AI Depends on Reproducible Measurement
We live in a world where AI innovation is moving at light speed, but our ability to measure its safety is stuck in "document sludge." IAIMS was founded to bridge this gap by treating AI governance as a science, not just a policy exercise.
Our Mission
The Evidence Infrastructure Initiative
IAIMS is a nonprofit technical organization established to translate high-level AI safety and risk frameworks into actionable, audit-ready engineering protocols. We provide the "Public Logic Layer" that makes standards like NIST AI RMF and the EU AI Act immediately usable and auditable.
Our Founding Philosophy: Measurement Science
Reproduction over Principles
Trustworthy AI depends not on abstract principles, but on reproducible measurement.
Metrology in AI
We apply classical measurement theory—traditionally used by physicists and statisticians at organizations like NIST and ISO—to the world of artificial intelligence.
Empirical Observation
Our work is grounded in properties that are empirically observable, repeatable across environments, and meaningful to risk management.
Our Principles of Neutrality
Empirical Measurement
Our work is grounded in measurement science, not normative judgment. We focus on properties that are repeatable, observable, and meaningful to risk management.
Transparent Logic
By keeping our executables open-source, we ensure the "audit trail" is transparent and peer-reviewed.
Non-Certifying
We act as a neutral bridge. We provide the tools for measurement, but we do not issue compliance determinations, certify systems, or sell software.
Closing the Implementation Gap
There is currently no shared representation of AI behavior that multiple stakeholders accept. IAIMS exists to solve this "Evidence Interoperability" crisis.
Institutional Governance & Independence
Our structure ensures neutrality and scientific rigor in everything we produce.
Balanced Oversight
We are building a balanced board representing academia, civil society, industry, and former regulators. Our governance principles and conflict-of-interest policies are being finalized.
The Liability Firewall
To maintain neutrality, every automated report generated by our tools includes a watermark stating: "This is a measurement artifact, not a certificate of compliance".
Operational Independence
We maintain a strict separation of roles between benchmark authorship and funded activities to prevent conflicts of interest, ensuring our technical outputs remain unbiased and scientifically rigorous.
"Do it once, do it for all. A world where AI safety is proven by data, not claimed by marketing."