Resources
Research publications, community partners, and open-source tools advancing reproducible AI measurement and governance.
Presentations & Decks
Overview of IAIMS mission, approach, and roadmap. 12 slides covering the problem, solution, and how to engage.
View DeckResearch & Publications
Building Measurement Infrastructure for Operational AI Governance
This paper presents a reusable multi-agent governance measurement architecture that converts governance prose into versioned, cross-framework evidence artifacts. The architecture comprises a Standards Monitoring Agent, Control Generation Agent, and Evidence Collection Agent with mandatory human-in-the-loop review at each stage.
Authors: Jaya Kandaswamy, Sowmya Podila — The Institute for AI Measurement Science
Download PDFMethodology documentation and measurement frameworks
Policy analysis and implementation guidance
Compliance mapping and audit specifications
Community & Research Groups
IAIMS operates as part of a broader ecosystem of organizations working to advance AI safety, governance, and measurement standards.
Organizations developing AI safety and governance standards
Examples: ISO, IEEE, NIST
Government-led frameworks and compliance requirements
Examples: EU AI Act, NIST AI RMF
Academic and industry collaborations advancing AI safety
Examples: Partnership on AI, MLCommons
Open Source
All IAIMS methodologies, tools, and evidence schemas are developed in the open. Our commitment to transparent logic means anyone can inspect, verify, and contribute to our work.
Standardized formats for AI compliance evidence
Reference implementations for safety metrics
Reusable templates for governance audits
Follow Our Progress
Our GitHub organization will host all open-source tools, schemas, and reference implementations.