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.
... for realworld usability
... through formal research methods
... transparency, & human-centered values
AI is transforming Instructional Design, from accelerating course creation and assessments to personalizing learning paths. But while AI is fast and powerf…
The University of New Mexico’s Grand Challenges Day is an opportunity to learn more about and join interdisciplinary research teams working on a variety of challenges facing communities in our s…
The project will also support the University of Washington (co-PI: Hanna Hajishirzi, PhD), the University of Hawai’i at Hilo (co-PI: Travis Mandel, PhD), the University of New Hampshire (co-PI: …
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