At the u of arizona, university leaders are rolling out a human centered approach to artificial intelligence led by David Ebert, the inaugural chief AI and data science officer who directs the Office of Responsible Artificial Intelligence.
Ebert says the effort prioritizes transparency, public trust and judicious application as technical capabilities accelerate, and ORAI gathered input from more than 1,000 employees and students to shape a campuswide roadmap.
More than 600 campus volunteers helped craft strategic direction, Rudy Salcido said, and the resulting roadmap is intended to evolve as technology and campus needs change.
Instructional pilots illustrate the approach, with Jennifer Savary using analog teaching to ground core skills before layering AI methods, and Melody Buckner using AI to analyze assignment patterns and generate feedback she then personalized.
The university plans to scale tools through the U of A AI Platform built on Amazon Bedrock, beginning with U of A GenAI to give faculty, staff and students access to multiple language models, and additional tools will follow to support coursework, operations and research.
ORAI houses the Arizona Institute for AI and Society, which brings engineering expertise and research support to interdisciplinary teams, and the university is participating in the Google AI for Education Accelerator to introduce AI fluency in the University 101 course.
Galaxy Research Links Collision to Scrambled Star Motions
University of Arizona astronomers traced the Small Magellanic Cloud's scrambled stellar motions to a direct collision with its larger companion, the Large Magellanic Cloud, according to a paper in The Astrophysical Journal.
Lead author Himansh Rathore said the collision disrupted the SMC's internal structure, sending stars into random motion and destroying coherent gas rotation as the SMC plunged through the LMC's dense gas.
Gurtina Besla said prior measures that appeared to show gas rotation were an illusion of viewing angle caused by the collision stretching the SMC, and the team developed new methods to read scrambled stellar motions in a post collision galaxy.
The researchers combined tailored computer simulations matching the galaxies' known properties with theoretical calculations of gas pressure effects and with telescope measurements from Hubble and the Gaia satellite to reach their conclusions.
The team noted prior related work showing the LMC's tilted central bar tied to dark matter, and warned the SMC's recent crash challenges its use as a standard benchmark for star formation and galaxy evolution studies.