From Theory to Implementation

Our Mission

Our team exists to define and implement AI that is trustworthy in theory and in practice for all AI users by developing new frameworks to design, test, and deploy AI in real world scenarios.

Our Vision

We envision a future where AI is trustworthy, and therefore trusted, to solve problems that people care about.

Practically Trustworthy

... for realworld usability

Provably Trustworthy

... through formal research methods

Ethically Trustworthy

... transparency, & human-centered values


The  Trustworthy AI Grand Challenge at UNM brings together researchers from  Engineering, Arts & Sciences, Law, and Libraries and Learning Sciences to build AI systems that are both  provably trustworthy—through formal methods—and  practically trustworthy for developers, deployers, and everyday users.

This interdisciplinary initiative is shaping a research program that combines  mathematical rigor with  real-world usability, creating tools and processes that help practitioners  assess, evaluate, and continuously improve AI trustworthiness, especially in  resource-limited environments where AI is increasingly deployed.

News and Upcoming Events

Moses one of Six UNM faculty promoted to distinguished professors
July 24, 2026

Moses2025

Each year, The University of New Mexico selects a handful of professors to be honored with the highest faculty title the University bestows — distinguished professor.

Announced jointly by the UNM Office of Academic Affairs in collaboration with the Health Sciences Center Office of Faculty Academic Affairs, the title of distinguished professor is reserved for academics who “have demonstrated outstanding achievements and are nationally and internationally renowned as scholars,” a…


UNM introduces two interdisciplinary research teams advancing to level 2 of Grand Challenges
July 7, 2026

The University of New Mexico continues to demonstrate its commitment to leading research and innovation by expanding its level 2 Grand Challenges program with the addition of two interdisciplinary research teams, Trustworthy AI and Biodiversity Nexus.

"By championing these vital areas of study, our researchers are paving the way for a future where technology and environmental studies of biodiversity coexist harmoniously across an extraordinary community of scholars, inspiring both academia and t…