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.
Board of Directors
Jaya Kandaswamy
President & Executive Director
Jaya Kandaswamy is the Founder, President and Executive Director of the Institute for AI Measurement Science (IAIMS). She established the Institute to advance independent measurement frameworks that translate emerging AI governance principles into verifiable, operational evidence. Her work focuses on bridging the gap between policy expectations and measurable practice in areas such as transparency, accountability, and risk management. She is particularly interested in developing practical approaches that enable organizations to demonstrate responsible AI governance through structured evidence and repeatable measurement. Jaya brings experience across technology, risk, and organizational systems, with a focus on making complex systems understandable, measurable, and accountable. She holds an MBA from the University of Chicago Booth School of Business.
John Pitts
Board Member
John Pitts serves on the Board of Directors of the Institute for AI Measurement Science (IAIMS), where he provides governance oversight and strategic guidance in support of the Institute's mission to advance credible and independent approaches to AI measurement. John brings experience at the intersection of public policy, financial technology, and digital trust. His work has focused on regulatory engagement, industry policy, and the development of frameworks that support responsible innovation in complex technology environments. Over the course of his career, he has worked across government, legal practice, and the technology sector, with a focus on strengthening accountability and trust in digital systems. John holds a J.D. from the University of Pennsylvania Carey Law School.
Joel Martinez
Board Member
Joel Martinez serves on the Board of Directors of the Institute for AI Measurement Science (IAIMS), where he contributes governance oversight and perspective on risk management, operational controls, and institutional accountability. Joel brings extensive experience in enterprise risk management and operational governance within complex financial and technology environments. His work has focused on designing and implementing first-line risk management frameworks, developing risk and control libraries, and establishing measurement practices that enable organizations to identify, assess, and manage material risks. Additionally he has guided various De Novo financial institutions through complex transformation and maturation initiatives helping them uplift their business while working closely with executive leadership, regulators, and audit committees. At IAIMS, Joel provides perspective on how structured controls, risk measurement, and governance practices can support credible and accountable systems.
Launch Partner Circle
Vijay Koduri
Launch Partner
Vijay Koduri is a senior marketing and growth leader with deep experience scaling global technology organizations. He previously held leadership roles at Google, where he led large-scale marketing initiatives across products and markets, working at the intersection of technology, data, and customer growth. He has since been involved in building and advising early-stage companies, bringing a strong perspective on go-to-market strategy, product positioning, and scaling adoption in complex enterprise environments. At IAIMS, Vijay joins as a Launch Partner to help shape how AI measurement and compliance frameworks are positioned, adopted, and translated into real-world value for companies navigating rapidly evolving regulatory expectations.
Research Team
Shaadana Rajesh
Summer Research Intern
Shaadana Rajesh serves as a Summer Research Intern at the Institute for AI Measurement Science (IAIMS), where she explores guardrails for adaptive, emotion-aware AI systems used in educational and youth-facing contexts. Her interest in this work grew out of building AI for students: as founder of LeapOnward, a nonprofit exploring the use of adaptive, emotion-aware AI to support teen engagement and learning, she developed leaponsat.com, an SAT prep platform that applies engagement science and behavior design to how the system communicates with learners. Shaadana brings experience across AI product development, behavioral science, and youth-focused venture leadership, with a focus on understanding how emerging technologies affect the people who use them. Her work has focused on translating that perspective into practical research questions about how AI governance frameworks apply to educational technology. At IAIMS, Shaadana supports the setup and testing of the Institute's measurement AI workflows and has contributed to outreach, grant research, and an IEEE paper on operational AI governance measurement infrastructure, co-presented at the IEEE TEMSGlobal conference.
"Do it once, do it for all. A world where AI safety is proven by data, not claimed by marketing."