Skip to main content

AI thought leaders emphasize human-centered approach at U of A summit

March 23, 2026

The Arizona AI Leadership Summit brought together experts from several sectors to advance a community-driven, ethical approach to AI.

Image
Evening view of Optical Sciences building with crowd listening to speaker at podium.

David Ebert, U of A chief AI and data science officer, addresses conference attendees at evening gathering.

Leslie Hawthorne Klingler

Experts and decision makers across academia, government, industry and nonprofit organizations gathered for the Arizona AI Leadership Summit at the University of Arizona on March 18 to discuss how artificial intelligence can be developed and deployed responsibly to advance public benefit. 

Nearly 200 people, from across the country and as far away as the Netherlands, attended, representing national labs, higher education, government agencies and technology-focused private sector organizations.

David Ebert, the U of A inaugural chief AI and data science officer, joined colleagues from Arizona State University and Northern Arizona University in a panel discussion on the importance of universities serving as good neighbors within their communities.

“I see the role of us being a resource for the community and really being that independent arbiter to help educate and to help clarify and raise these issues that lead to national solutions,” Ebert said. “That’s why we focus on a community-driven approach to what we do.”

Ebert leads the university’s Office of Responsible AI, which organized the summit and hosted the national Academic Data Science Alliance on the U of A campus on March 16-17. Ebert and his team have incorporated feedback from across the university to enhance the responsible, reliable and sustainable implementation of AI across education, research and operations across the U of A. 

Sessions throughout the day encouraged thoughtful discussions on AI governance, workforce preparation, ethical deployment of emerging technologies and collaboration across academia, government and industry. Ryan Wright, co-director of AI research at the University of Virginia, attributed the university’s success to Ebert’s ability to balance a top-down and a bottom-up approach.

“The University of Arizona is a leader in the space around AI because of the investment they made into leadership,” he said. “Having somebody who can facilitate those conversations is critically important.” 

Other conversations focused on fears about data privacy, the early adoption of AI by younger generations and the risk of losing entire cultures to bias—the concern that only those with access to large language models can train them with information, leaving others without access behind. 

A recurring theme throughout the day was people. Whether it’s family or future generations, the future of artificial intelligence needs to put people first, Ebert said. 

“Since my first conversation here at the university, it is clear that everyone is committed to do this responsibly and take it seriously,” he said. “We are acting as stewards of a future where AI is built on a foundation of integrity, and we are providing the framework that helps our community navigate this with confidence."